MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the Internet Article Swipe
Xing Liu
,
Fupeng Wei
,
Wei Jiang
,
Qiusheng Zheng
,
Yaqiong Qiao
,
Jizong Liu
,
Liyue Niu
,
Ziwei Chen
,
Hangcheng Dong
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13127307
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13127307
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The problems make this a challenging research point for multimodal information detection in an internet public opinion scenario. In this paper, we look at how to dynamically monitor the internet opinion information (mostly images and videos) that different websites post. Based on the most recent advancements in text recognition, this paper proposes a new method of visual multimodal text recognition and sentiment analysis (MTR-SAM) for internet public opinion analysis scenarios. In the detection module, a LK-PAN network with large sensory fields is proposed to enhance the CML distillation strategy, and an RSE-FPN with a residual attention mechanism is used to improve feature map representation. Second, it proposes that the original CTC decoder be replaced with a GTC method to solve earlier problems with text detection at arbitrary rotation angles. Additionally, the performance of scene text detection for arbitrary rotation angles is improved using a sinusoidal loss function for rotation recognition. Finally, the improved sentiment analysis model is used to predict the sentiment polarity of the text recognition results. The experimental results show that the new method proposed in this paper improves recognition speed by 31.77%, recognition accuracy by 10.78% on the video dataset, and the F1 score of the multimodal sentiment analysis model by 4.42% on the self-built internet public opinion dataset (lab dataset). The method proposed provides significant technical support for internet public opinion analysis in multimodal domains.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13127307
- https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393
- OA Status
- gold
- Cited By
- 7
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381435031
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4381435031Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app13127307Digital Object Identifier
- Title
-
MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the InternetWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-20Full publication date if available
- Authors
-
Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen, Hangcheng DongList of authors in order
- Landing page
-
https://doi.org/10.3390/app13127307Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393Direct OA link when available
- Concepts
-
Computer science, Sentiment analysis, The Internet, Artificial intelligence, Public opinion, Information retrieval, Pattern recognition (psychology), World Wide Web, Political science, Politics, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4381435031 |
|---|---|
| doi | https://doi.org/10.3390/app13127307 |
| ids.doi | https://doi.org/10.3390/app13127307 |
| ids.openalex | https://openalex.org/W4381435031 |
| fwci | 1.27377838 |
| type | article |
| title | MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the Internet |
| awards[0].id | https://openalex.org/G7216562700 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 62272163 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 12 |
| biblio.volume | 13 |
| biblio.last_page | 7307 |
| biblio.first_page | 7307 |
| topics[0].id | https://openalex.org/T10601 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9983999729156494 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Handwritten Text Recognition Techniques |
| topics[1].id | https://openalex.org/T11550 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9923999905586243 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Text and Document Classification Technologies |
| topics[2].id | https://openalex.org/T10824 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.989300012588501 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Image Retrieval and Classification Techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 2300 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2490 |
| apc_paid.value | 2300 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2490 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7607418298721313 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C66402592 |
| concepts[1].level | 2 |
| concepts[1].score | 0.679581880569458 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2271421 |
| concepts[1].display_name | Sentiment analysis |
| concepts[2].id | https://openalex.org/C110875604 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6632436513900757 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q75 |
| concepts[2].display_name | The Internet |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5316147208213806 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C134698397 |
| concepts[4].level | 3 |
| concepts[4].score | 0.44672098755836487 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q17946 |
| concepts[4].display_name | Public opinion |
| concepts[5].id | https://openalex.org/C23123220 |
| concepts[5].level | 1 |
| concepts[5].score | 0.41448891162872314 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[5].display_name | Information retrieval |
| concepts[6].id | https://openalex.org/C153180895 |
| concepts[6].level | 2 |
| concepts[6].score | 0.34740370512008667 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[6].display_name | Pattern recognition (psychology) |
| concepts[7].id | https://openalex.org/C136764020 |
| concepts[7].level | 1 |
| concepts[7].score | 0.19079366326332092 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[7].display_name | World Wide Web |
| concepts[8].id | https://openalex.org/C17744445 |
| concepts[8].level | 0 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[8].display_name | Political science |
| concepts[9].id | https://openalex.org/C94625758 |
| concepts[9].level | 2 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7163 |
| concepts[9].display_name | Politics |
| concepts[10].id | https://openalex.org/C199539241 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[10].display_name | Law |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7607418298721313 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/sentiment-analysis |
| keywords[1].score | 0.679581880569458 |
| keywords[1].display_name | Sentiment analysis |
| keywords[2].id | https://openalex.org/keywords/the-internet |
| keywords[2].score | 0.6632436513900757 |
| keywords[2].display_name | The Internet |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.5316147208213806 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/public-opinion |
| keywords[4].score | 0.44672098755836487 |
| keywords[4].display_name | Public opinion |
| keywords[5].id | https://openalex.org/keywords/information-retrieval |
| keywords[5].score | 0.41448891162872314 |
| keywords[5].display_name | Information retrieval |
| keywords[6].id | https://openalex.org/keywords/pattern-recognition |
| keywords[6].score | 0.34740370512008667 |
| keywords[6].display_name | Pattern recognition (psychology) |
| keywords[7].id | https://openalex.org/keywords/world-wide-web |
| keywords[7].score | 0.19079366326332092 |
| keywords[7].display_name | World Wide Web |
| language | en |
| locations[0].id | doi:10.3390/app13127307 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210205812 |
| locations[0].source.issn | 2076-3417 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2076-3417 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Applied Sciences |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Applied Sciences |
| locations[0].landing_page_url | https://doi.org/10.3390/app13127307 |
| locations[1].id | pmh:oai:doaj.org/article:5cc92e9a624b441e9524c351b5e69a2e |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Applied Sciences, Vol 13, Iss 12, p 7307 (2023) |
| locations[1].landing_page_url | https://doaj.org/article/5cc92e9a624b441e9524c351b5e69a2e |
| locations[2].id | pmh:oai:mdpi.com:/2076-3417/13/12/7307/ |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400947 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | MDPI (MDPI AG) |
| locations[2].source.host_organization | https://openalex.org/I4210097602 |
| locations[2].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[2].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Pages: 7307 |
| locations[2].landing_page_url | https://dx.doi.org/10.3390/app13127307 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5100727910 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6669-3909 |
| authorships[0].author.display_name | Xing Liu |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[0].affiliations[0].raw_affiliation_string | The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[0].affiliations[1].raw_affiliation_string | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China |
| authorships[0].institutions[0].id | https://openalex.org/I132586189 |
| authorships[0].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xing Liu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China, The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[1].author.id | https://openalex.org/A5069395320 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2337-1483 |
| authorships[1].author.display_name | Fupeng Wei |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I198645480 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[1].institutions[0].id | https://openalex.org/I198645480 |
| authorships[1].institutions[0].ror | https://ror.org/03acrzv41 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I198645480 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | North China University of Water Resources and Electric Power |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Fupeng Wei |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[2].author.id | https://openalex.org/A5024181294 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2737-4913 |
| authorships[2].author.display_name | Wei Jiang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I198645480 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[2].institutions[0].id | https://openalex.org/I198645480 |
| authorships[2].institutions[0].ror | https://ror.org/03acrzv41 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I198645480 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | North China University of Water Resources and Electric Power |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Wei Jiang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[3].author.id | https://openalex.org/A5101062773 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-9067-1806 |
| authorships[3].author.display_name | Qiusheng Zheng |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[3].affiliations[0].raw_affiliation_string | The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[3].affiliations[1].raw_affiliation_string | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China |
| authorships[3].institutions[0].id | https://openalex.org/I132586189 |
| authorships[3].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Qiusheng Zheng |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China, The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[4].author.id | https://openalex.org/A5101877690 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Yaqiong Qiao |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I198645480 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[4].affiliations[1].raw_affiliation_string | Henan Key Laboratory of Cyberspace Situation Awareness, Zhengzhou 450001, China |
| authorships[4].institutions[0].id | https://openalex.org/I198645480 |
| authorships[4].institutions[0].ror | https://ror.org/03acrzv41 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I198645480 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | North China University of Water Resources and Electric Power |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yaqiong Qiao |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Henan Key Laboratory of Cyberspace Situation Awareness, Zhengzhou 450001, China, School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
| authorships[5].author.id | https://openalex.org/A5114110358 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Jizong Liu |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[5].affiliations[0].raw_affiliation_string | The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[5].affiliations[1].raw_affiliation_string | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China |
| authorships[5].institutions[0].id | https://openalex.org/I132586189 |
| authorships[5].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jizong Liu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China, The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[6].author.id | https://openalex.org/A5002930465 |
| authorships[6].author.orcid | https://orcid.org/0009-0003-0501-4946 |
| authorships[6].author.display_name | Liyue Niu |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[6].affiliations[0].raw_affiliation_string | The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[6].affiliations[1].raw_affiliation_string | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China |
| authorships[6].institutions[0].id | https://openalex.org/I132586189 |
| authorships[6].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Liyue Niu |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China, The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[7].author.id | https://openalex.org/A5004102236 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-0761-6863 |
| authorships[7].author.display_name | Ziwei Chen |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[7].affiliations[0].raw_affiliation_string | The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[7].affiliations[1].raw_affiliation_string | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China |
| authorships[7].institutions[0].id | https://openalex.org/I132586189 |
| authorships[7].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Ziwei Chen |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Henan Key Laboratory on Public Opinion Intelligent Analysis, Zhengzhou 450007, China, The Frontier Information Technology Research Institute, Zhongyuan University of Technology, Zhengzhou 450007, China |
| authorships[8].author.id | https://openalex.org/A5029378855 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-4880-6762 |
| authorships[8].author.display_name | Hangcheng Dong |
| authorships[8].countries | CN |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I204983213 |
| authorships[8].affiliations[0].raw_affiliation_string | School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China |
| authorships[8].institutions[0].id | https://openalex.org/I204983213 |
| authorships[8].institutions[0].ror | https://ror.org/01yqg2h08 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I204983213 |
| authorships[8].institutions[0].country_code | CN |
| authorships[8].institutions[0].display_name | Harbin Institute of Technology |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Hangcheng Dong |
| authorships[8].is_corresponding | True |
| authorships[8].raw_affiliation_strings | School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the Internet |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10601 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9983999729156494 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Handwritten Text Recognition Techniques |
| related_works | https://openalex.org/W2548633793, https://openalex.org/W2941935829, https://openalex.org/W3089396779, https://openalex.org/W2596247554, https://openalex.org/W4301373556, https://openalex.org/W3013279174, https://openalex.org/W3132372214, https://openalex.org/W4224284088, https://openalex.org/W4286571989, https://openalex.org/W1968129419 |
| cited_by_count | 7 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 4 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| locations_count | 3 |
| best_oa_location.id | doi:10.3390/app13127307 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210205812 |
| best_oa_location.source.issn | 2076-3417 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2076-3417 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Applied Sciences |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Applied Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.3390/app13127307 |
| primary_location.id | doi:10.3390/app13127307 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210205812 |
| primary_location.source.issn | 2076-3417 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2076-3417 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Applied Sciences |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2076-3417/13/12/7307/pdf?version=1687228393 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Applied Sciences |
| primary_location.landing_page_url | https://doi.org/10.3390/app13127307 |
| publication_date | 2023-06-20 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2618530766, https://openalex.org/W2962759292, https://openalex.org/W3163841364, https://openalex.org/W2985076077, https://openalex.org/W3097926244, https://openalex.org/W6779739962, https://openalex.org/W3173843816, https://openalex.org/W2951124019, https://openalex.org/W3000002142, https://openalex.org/W6776488277, https://openalex.org/W2795619303, https://openalex.org/W2806565062, https://openalex.org/W3022124043, https://openalex.org/W3094978828, https://openalex.org/W3035679705, https://openalex.org/W2902494497, https://openalex.org/W2963647456, https://openalex.org/W2966197990, https://openalex.org/W4319309406, https://openalex.org/W3181016597, https://openalex.org/W2613718673, https://openalex.org/W2963037989, https://openalex.org/W3089298195, https://openalex.org/W2550687635, https://openalex.org/W3172799005, https://openalex.org/W2998584079, https://openalex.org/W2998621280, https://openalex.org/W3114290877, https://openalex.org/W2194187530, https://openalex.org/W3091852516, https://openalex.org/W2962790387, https://openalex.org/W2963526661, https://openalex.org/W2810983211, https://openalex.org/W3013224334, https://openalex.org/W3048948626, https://openalex.org/W2148506018, https://openalex.org/W6778206371, https://openalex.org/W3189630481, https://openalex.org/W2926264417, https://openalex.org/W2585958134, https://openalex.org/W2996897273, https://openalex.org/W3003466563, https://openalex.org/W3035265375, https://openalex.org/W3034943799, https://openalex.org/W3114000409, https://openalex.org/W2980091915, https://openalex.org/W4312880451, https://openalex.org/W2579348194, https://openalex.org/W2963608065, https://openalex.org/W2941799245, https://openalex.org/W2963477629, https://openalex.org/W3121754639, https://openalex.org/W3002226419, https://openalex.org/W2970872015, https://openalex.org/W3021481629, https://openalex.org/W3034673077, https://openalex.org/W3026487933 |
| referenced_works_count | 57 |
| abstract_inverted_index.a | 39, 87, 109, 128, 150, 178 |
| abstract_inverted_index.F1 | 230 |
| abstract_inverted_index.In | 53, 105 |
| abstract_inverted_index.an | 48, 125 |
| abstract_inverted_index.at | 58, 160 |
| abstract_inverted_index.be | 147 |
| abstract_inverted_index.by | 218, 222, 238 |
| abstract_inverted_index.in | 28, 47, 81, 212, 261 |
| abstract_inverted_index.is | 116, 132, 175, 191 |
| abstract_inverted_index.it | 140 |
| abstract_inverted_index.of | 12, 90, 167, 198, 232 |
| abstract_inverted_index.on | 9, 15, 76, 224, 240 |
| abstract_inverted_index.to | 60, 118, 134, 153, 193 |
| abstract_inverted_index.we | 56 |
| abstract_inverted_index.CML | 121 |
| abstract_inverted_index.CTC | 145 |
| abstract_inverted_index.GTC | 151 |
| abstract_inverted_index.The | 35, 203, 249 |
| abstract_inverted_index.and | 21, 24, 30, 32, 69, 95, 124, 228 |
| abstract_inverted_index.but | 18 |
| abstract_inverted_index.for | 2, 43, 99, 171, 182, 256 |
| abstract_inverted_index.how | 59 |
| abstract_inverted_index.map | 137 |
| abstract_inverted_index.new | 88, 209 |
| abstract_inverted_index.the | 63, 77, 106, 120, 143, 165, 186, 195, 199, 208, 225, 229, 233, 241 |
| abstract_inverted_index.web | 16 |
| abstract_inverted_index.(lab | 247 |
| abstract_inverted_index.look | 57 |
| abstract_inverted_index.loss | 180 |
| abstract_inverted_index.make | 37 |
| abstract_inverted_index.most | 78 |
| abstract_inverted_index.rely | 7 |
| abstract_inverted_index.show | 206 |
| abstract_inverted_index.text | 82, 93, 158, 169, 200 |
| abstract_inverted_index.that | 71, 142, 207 |
| abstract_inverted_index.this | 38, 54, 84, 213 |
| abstract_inverted_index.used | 133, 192 |
| abstract_inverted_index.with | 112, 127, 149, 157 |
| abstract_inverted_index.4.42% | 239 |
| abstract_inverted_index.Based | 75 |
| abstract_inverted_index.large | 113 |
| abstract_inverted_index.model | 190, 237 |
| abstract_inverted_index.pages | 17 |
| abstract_inverted_index.paper | 85, 214 |
| abstract_inverted_index.point | 42 |
| abstract_inverted_index.post. | 74 |
| abstract_inverted_index.scene | 168 |
| abstract_inverted_index.score | 231 |
| abstract_inverted_index.solve | 154 |
| abstract_inverted_index.speed | 217 |
| abstract_inverted_index.using | 177 |
| abstract_inverted_index.video | 226 |
| abstract_inverted_index.10.78% | 223 |
| abstract_inverted_index.LK-PAN | 110 |
| abstract_inverted_index.angles | 174 |
| abstract_inverted_index.cannot | 19 |
| abstract_inverted_index.fields | 115 |
| abstract_inverted_index.images | 29, 68 |
| abstract_inverted_index.method | 89, 152, 210, 250 |
| abstract_inverted_index.paper, | 55 |
| abstract_inverted_index.public | 5, 50, 101, 244, 258 |
| abstract_inverted_index.recent | 79 |
| abstract_inverted_index.videos | 31 |
| abstract_inverted_index.visual | 91 |
| abstract_inverted_index.(mostly | 67 |
| abstract_inverted_index.31.77%, | 219 |
| abstract_inverted_index.RSE-FPN | 126 |
| abstract_inverted_index.Second, | 139 |
| abstract_inverted_index.acquire | 23 |
| abstract_inverted_index.angles. | 163 |
| abstract_inverted_index.dataset | 246 |
| abstract_inverted_index.decoder | 146 |
| abstract_inverted_index.earlier | 155 |
| abstract_inverted_index.enhance | 119 |
| abstract_inverted_index.feature | 136 |
| abstract_inverted_index.improve | 135 |
| abstract_inverted_index.methods | 1 |
| abstract_inverted_index.module, | 108 |
| abstract_inverted_index.monitor | 62 |
| abstract_inverted_index.network | 111 |
| abstract_inverted_index.opinion | 6, 51, 65, 102, 245, 259 |
| abstract_inverted_index.predict | 194 |
| abstract_inverted_index.quickly | 20 |
| abstract_inverted_index.regular | 10 |
| abstract_inverted_index.results | 205 |
| abstract_inverted_index.sensory | 114 |
| abstract_inverted_index.support | 255 |
| abstract_inverted_index.textual | 13, 26 |
| abstract_inverted_index.videos) | 70 |
| abstract_inverted_index.Existing | 0 |
| abstract_inverted_index.Finally, | 185 |
| abstract_inverted_index.accuracy | 221 |
| abstract_inverted_index.analysis | 97, 103, 189, 236, 260 |
| abstract_inverted_index.crawling | 11 |
| abstract_inverted_index.dataset, | 227 |
| abstract_inverted_index.domains. | 263 |
| abstract_inverted_index.function | 181 |
| abstract_inverted_index.identify | 25 |
| abstract_inverted_index.improved | 176, 187 |
| abstract_inverted_index.improves | 215 |
| abstract_inverted_index.internet | 4, 49, 64, 100, 243, 257 |
| abstract_inverted_index.original | 144 |
| abstract_inverted_index.polarity | 197 |
| abstract_inverted_index.problems | 36, 156 |
| abstract_inverted_index.proposed | 117, 211, 251 |
| abstract_inverted_index.proposes | 86, 141 |
| abstract_inverted_index.provides | 252 |
| abstract_inverted_index.replaced | 148 |
| abstract_inverted_index.research | 41 |
| abstract_inverted_index.residual | 129 |
| abstract_inverted_index.results. | 202 |
| abstract_inverted_index.rotation | 162, 173, 183 |
| abstract_inverted_index.websites | 73 |
| abstract_inverted_index.(MTR-SAM) | 98 |
| abstract_inverted_index.arbitrary | 161, 172 |
| abstract_inverted_index.attention | 130 |
| abstract_inverted_index.dataset). | 248 |
| abstract_inverted_index.detection | 46, 107, 159, 170 |
| abstract_inverted_index.different | 72 |
| abstract_inverted_index.mechanism | 131 |
| abstract_inverted_index.primarily | 8 |
| abstract_inverted_index.scenario. | 52 |
| abstract_inverted_index.sentiment | 96, 188, 196, 235 |
| abstract_inverted_index.strategy, | 123 |
| abstract_inverted_index.technical | 254 |
| abstract_inverted_index.accurately | 22 |
| abstract_inverted_index.monitoring | 3 |
| abstract_inverted_index.multimodal | 44, 92, 234, 262 |
| abstract_inverted_index.scenarios. | 104 |
| abstract_inverted_index.self-built | 242 |
| abstract_inverted_index.sentiment. | 34 |
| abstract_inverted_index.sinusoidal | 179 |
| abstract_inverted_index.challenging | 40 |
| abstract_inverted_index.dynamically | 61 |
| abstract_inverted_index.information | 14, 27, 45, 66 |
| abstract_inverted_index.performance | 166 |
| abstract_inverted_index.recognition | 94, 201, 216, 220 |
| abstract_inverted_index.significant | 253 |
| abstract_inverted_index.advancements | 80 |
| abstract_inverted_index.discriminate | 33 |
| abstract_inverted_index.distillation | 122 |
| abstract_inverted_index.experimental | 204 |
| abstract_inverted_index.recognition, | 83 |
| abstract_inverted_index.recognition. | 184 |
| abstract_inverted_index.Additionally, | 164 |
| abstract_inverted_index.representation. | 138 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5069395320, https://openalex.org/A5029378855 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I198645480, https://openalex.org/I204983213 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.78189409 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |