ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINESOCIAL NETWORKS Article Swipe
Manmohan Sharma
,
C. Ravisheker
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48047/ijiemr/v10/i11/18
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48047/ijiemr/v10/i11/18
Social media is one of the most influential tool for sharing information across different regions among different users .The people sharing their interests in various aspects in online social networking platforms like Facebook, twitter etc. Therefore the usage of hate text steadily increasing. Nowadays it has been reviled unfair behavior of the users in social networking sites. The existence of abusive text on different online social networking platforms and identification of such text is a big challenging task. To understand the complexity of language constructs in different languages is very difficult .Already lot of research work has completed in English language. This paper gives detail analysis of detecting hate text in various languages Hindi, urdu, Arabic, Bengali, Telugu. We incorporated various kinds of ML and DL based algorithms to identify hate text in OSN’s. A review is done related to different classifiers where a comparison made between different models of ML, DL algorithms. Finally finds the accurate method to classify the text is offensive or not by finding the parameters i.e. accuracy and F1score
Related Topics
Concepts
Offensive
Computer science
Hindi
Bengali
Social media
Telugu
Urdu
Artificial intelligence
Identification (biology)
Language identification
Natural language processing
Task (project management)
World Wide Web
Linguistics
Natural language
Mathematics
Philosophy
Management
Economics
Operations research
Botany
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.48047/ijiemr/v10/i11/18
- https://doi.org/10.48047/ijiemr/v10/i11/18
- OA Status
- bronze
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200076228
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4200076228Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48047/ijiemr/v10/i11/18Digital Object Identifier
- Title
-
ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINESOCIAL NETWORKSWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-16Full publication date if available
- Authors
-
Manmohan Sharma, C. RavishekerList of authors in order
- Landing page
-
https://doi.org/10.48047/ijiemr/v10/i11/18Publisher landing page
- PDF URL
-
https://doi.org/10.48047/ijiemr/v10/i11/18Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.48047/ijiemr/v10/i11/18Direct OA link when available
- Concepts
-
Offensive, Computer science, Hindi, Bengali, Social media, Telugu, Urdu, Artificial intelligence, Identification (biology), Language identification, Natural language processing, Task (project management), World Wide Web, Linguistics, Natural language, Mathematics, Philosophy, Management, Economics, Operations research, Botany, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4200076228 |
|---|---|
| doi | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| ids.doi | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| ids.openalex | https://openalex.org/W4200076228 |
| fwci | 0.0 |
| type | article |
| title | ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINESOCIAL NETWORKS |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 130 |
| biblio.first_page | 124 |
| topics[0].id | https://openalex.org/T12262 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9973000288009644 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Hate Speech and Cyberbullying Detection |
| topics[1].id | https://openalex.org/T11598 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9674999713897705 |
| 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 | Internet Traffic Analysis and Secure E-voting |
| topics[2].id | https://openalex.org/T11644 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9628000259399414 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1710 |
| topics[2].subfield.display_name | Information Systems |
| topics[2].display_name | Spam and Phishing Detection |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C176856949 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7576494216918945 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2001676 |
| concepts[0].display_name | Offensive |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.739607036113739 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C519982507 |
| concepts[2].level | 2 |
| concepts[2].score | 0.7386208772659302 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1568 |
| concepts[2].display_name | Hindi |
| concepts[3].id | https://openalex.org/C19235068 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6420520544052124 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q9610 |
| concepts[3].display_name | Bengali |
| concepts[4].id | https://openalex.org/C518677369 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6201299428939819 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q202833 |
| concepts[4].display_name | Social media |
| concepts[5].id | https://openalex.org/C2778756302 |
| concepts[5].level | 2 |
| concepts[5].score | 0.6166497468948364 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8097 |
| concepts[5].display_name | Telugu |
| concepts[6].id | https://openalex.org/C2777350258 |
| concepts[6].level | 2 |
| concepts[6].score | 0.577289879322052 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1617 |
| concepts[6].display_name | Urdu |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.5395227670669556 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C116834253 |
| concepts[8].level | 2 |
| concepts[8].score | 0.5188359022140503 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[8].display_name | Identification (biology) |
| concepts[9].id | https://openalex.org/C129792486 |
| concepts[9].level | 3 |
| concepts[9].score | 0.5183064341545105 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1050419 |
| concepts[9].display_name | Language identification |
| concepts[10].id | https://openalex.org/C204321447 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4949747920036316 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[10].display_name | Natural language processing |
| concepts[11].id | https://openalex.org/C2780451532 |
| concepts[11].level | 2 |
| concepts[11].score | 0.46395108103752136 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[11].display_name | Task (project management) |
| concepts[12].id | https://openalex.org/C136764020 |
| concepts[12].level | 1 |
| concepts[12].score | 0.42292237281799316 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[12].display_name | World Wide Web |
| concepts[13].id | https://openalex.org/C41895202 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1780364215373993 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[13].display_name | Linguistics |
| concepts[14].id | https://openalex.org/C195324797 |
| concepts[14].level | 2 |
| concepts[14].score | 0.15313276648521423 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q33742 |
| concepts[14].display_name | Natural language |
| concepts[15].id | https://openalex.org/C33923547 |
| concepts[15].level | 0 |
| concepts[15].score | 0.09999662637710571 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[15].display_name | Mathematics |
| concepts[16].id | https://openalex.org/C138885662 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[16].display_name | Philosophy |
| concepts[17].id | https://openalex.org/C187736073 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2920921 |
| concepts[17].display_name | Management |
| concepts[18].id | https://openalex.org/C162324750 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[18].display_name | Economics |
| concepts[19].id | https://openalex.org/C42475967 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q194292 |
| concepts[19].display_name | Operations research |
| concepts[20].id | https://openalex.org/C59822182 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[20].display_name | Botany |
| concepts[21].id | https://openalex.org/C86803240 |
| concepts[21].level | 0 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[21].display_name | Biology |
| keywords[0].id | https://openalex.org/keywords/offensive |
| keywords[0].score | 0.7576494216918945 |
| keywords[0].display_name | Offensive |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.739607036113739 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/hindi |
| keywords[2].score | 0.7386208772659302 |
| keywords[2].display_name | Hindi |
| keywords[3].id | https://openalex.org/keywords/bengali |
| keywords[3].score | 0.6420520544052124 |
| keywords[3].display_name | Bengali |
| keywords[4].id | https://openalex.org/keywords/social-media |
| keywords[4].score | 0.6201299428939819 |
| keywords[4].display_name | Social media |
| keywords[5].id | https://openalex.org/keywords/telugu |
| keywords[5].score | 0.6166497468948364 |
| keywords[5].display_name | Telugu |
| keywords[6].id | https://openalex.org/keywords/urdu |
| keywords[6].score | 0.577289879322052 |
| keywords[6].display_name | Urdu |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.5395227670669556 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/identification |
| keywords[8].score | 0.5188359022140503 |
| keywords[8].display_name | Identification (biology) |
| keywords[9].id | https://openalex.org/keywords/language-identification |
| keywords[9].score | 0.5183064341545105 |
| keywords[9].display_name | Language identification |
| keywords[10].id | https://openalex.org/keywords/natural-language-processing |
| keywords[10].score | 0.4949747920036316 |
| keywords[10].display_name | Natural language processing |
| keywords[11].id | https://openalex.org/keywords/task |
| keywords[11].score | 0.46395108103752136 |
| keywords[11].display_name | Task (project management) |
| keywords[12].id | https://openalex.org/keywords/world-wide-web |
| keywords[12].score | 0.42292237281799316 |
| keywords[12].display_name | World Wide Web |
| keywords[13].id | https://openalex.org/keywords/linguistics |
| keywords[13].score | 0.1780364215373993 |
| keywords[13].display_name | Linguistics |
| keywords[14].id | https://openalex.org/keywords/natural-language |
| keywords[14].score | 0.15313276648521423 |
| keywords[14].display_name | Natural language |
| keywords[15].id | https://openalex.org/keywords/mathematics |
| keywords[15].score | 0.09999662637710571 |
| keywords[15].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.48047/ijiemr/v10/i11/18 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210184960 |
| locations[0].source.issn | 2456-5083 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2456-5083 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | International Journal For Innovative Engineering and Management Research |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal For Innovative Engineering and Management Research |
| locations[0].landing_page_url | http://doi.org/10.48047/ijiemr/v10/i11/18 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5045470776 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9445-5898 |
| authorships[0].author.display_name | Manmohan Sharma |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I110360157 |
| authorships[0].affiliations[0].raw_affiliation_string | Research scholar, Lovely professional University, Punjab, India |
| authorships[0].institutions[0].id | https://openalex.org/I110360157 |
| authorships[0].institutions[0].ror | https://ror.org/00et6q107 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I110360157 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Lovely Professional University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Manmohan Sharma |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Research scholar, Lovely professional University, Punjab, India |
| authorships[1].author.id | https://openalex.org/A5001688293 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | C. Ravisheker |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I110360157 |
| authorships[1].affiliations[0].raw_affiliation_string | Associate Professor, Lovely professional University, Punjab, India |
| authorships[1].institutions[0].id | https://openalex.org/I110360157 |
| authorships[1].institutions[0].ror | https://ror.org/00et6q107 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I110360157 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Lovely Professional University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Ch Ravisheker |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Associate Professor, Lovely professional University, Punjab, India |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2021-12-31T00:00:00 |
| display_name | ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINESOCIAL NETWORKS |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12262 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9973000288009644 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Hate Speech and Cyberbullying Detection |
| related_works | https://openalex.org/W2092947013, https://openalex.org/W2944879038, https://openalex.org/W2537815105, https://openalex.org/W4320076915, https://openalex.org/W4213327667, https://openalex.org/W4377083421, https://openalex.org/W4365515026, https://openalex.org/W607176272, https://openalex.org/W2261782112, https://openalex.org/W2913711322 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.48047/ijiemr/v10/i11/18 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210184960 |
| best_oa_location.source.issn | 2456-5083 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2456-5083 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal For Innovative Engineering and Management Research |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal For Innovative Engineering and Management Research |
| best_oa_location.landing_page_url | http://doi.org/10.48047/ijiemr/v10/i11/18 |
| primary_location.id | doi:10.48047/ijiemr/v10/i11/18 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210184960 |
| primary_location.source.issn | 2456-5083 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2456-5083 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal For Innovative Engineering and Management Research |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | https://doi.org/10.48047/ijiemr/v10/i11/18 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal For Innovative Engineering and Management Research |
| primary_location.landing_page_url | http://doi.org/10.48047/ijiemr/v10/i11/18 |
| publication_date | 2021-11-16 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3046236286, https://openalex.org/W3034138372, https://openalex.org/W2600142848, https://openalex.org/W2954793188, https://openalex.org/W2972463128, https://openalex.org/W3110675978, https://openalex.org/W2611912747, https://openalex.org/W2283616305, https://openalex.org/W3032985518, https://openalex.org/W2766167385, https://openalex.org/W1550508824, https://openalex.org/W3110800827, https://openalex.org/W3047326904, https://openalex.org/W3010752027 |
| referenced_works_count | 14 |
| abstract_inverted_index.A | 134 |
| abstract_inverted_index.a | 74, 143 |
| abstract_inverted_index.DL | 125, 151 |
| abstract_inverted_index.ML | 123 |
| abstract_inverted_index.To | 78 |
| abstract_inverted_index.We | 118 |
| abstract_inverted_index.by | 166 |
| abstract_inverted_index.in | 23, 26, 53, 85, 98, 110, 132 |
| abstract_inverted_index.is | 2, 73, 88, 136, 162 |
| abstract_inverted_index.it | 44 |
| abstract_inverted_index.of | 4, 38, 50, 59, 70, 82, 93, 106, 122, 149 |
| abstract_inverted_index.on | 62 |
| abstract_inverted_index.or | 164 |
| abstract_inverted_index.to | 128, 139, 158 |
| abstract_inverted_index.ML, | 150 |
| abstract_inverted_index.The | 57 |
| abstract_inverted_index.and | 68, 124, 172 |
| abstract_inverted_index.big | 75 |
| abstract_inverted_index.for | 9 |
| abstract_inverted_index.has | 45, 96 |
| abstract_inverted_index.lot | 92 |
| abstract_inverted_index.not | 165 |
| abstract_inverted_index.one | 3 |
| abstract_inverted_index.the | 5, 36, 51, 80, 155, 160, 168 |
| abstract_inverted_index..The | 18 |
| abstract_inverted_index.This | 101 |
| abstract_inverted_index.been | 46 |
| abstract_inverted_index.done | 137 |
| abstract_inverted_index.etc. | 34 |
| abstract_inverted_index.hate | 39, 108, 130 |
| abstract_inverted_index.i.e. | 170 |
| abstract_inverted_index.like | 31 |
| abstract_inverted_index.made | 145 |
| abstract_inverted_index.most | 6 |
| abstract_inverted_index.such | 71 |
| abstract_inverted_index.text | 40, 61, 72, 109, 131, 161 |
| abstract_inverted_index.tool | 8 |
| abstract_inverted_index.very | 89 |
| abstract_inverted_index.work | 95 |
| abstract_inverted_index.among | 15 |
| abstract_inverted_index.based | 126 |
| abstract_inverted_index.finds | 154 |
| abstract_inverted_index.gives | 103 |
| abstract_inverted_index.kinds | 121 |
| abstract_inverted_index.media | 1 |
| abstract_inverted_index.paper | 102 |
| abstract_inverted_index.task. | 77 |
| abstract_inverted_index.their | 21 |
| abstract_inverted_index.urdu, | 114 |
| abstract_inverted_index.usage | 37 |
| abstract_inverted_index.users | 17, 52 |
| abstract_inverted_index.where | 142 |
| abstract_inverted_index.Hindi, | 113 |
| abstract_inverted_index.Social | 0 |
| abstract_inverted_index.across | 12 |
| abstract_inverted_index.detail | 104 |
| abstract_inverted_index.method | 157 |
| abstract_inverted_index.models | 148 |
| abstract_inverted_index.online | 27, 64 |
| abstract_inverted_index.people | 19 |
| abstract_inverted_index.review | 135 |
| abstract_inverted_index.sites. | 56 |
| abstract_inverted_index.social | 28, 54, 65 |
| abstract_inverted_index.unfair | 48 |
| abstract_inverted_index.Arabic, | 115 |
| abstract_inverted_index.English | 99 |
| abstract_inverted_index.F1score | 173 |
| abstract_inverted_index.Finally | 153 |
| abstract_inverted_index.Telugu. | 117 |
| abstract_inverted_index.abusive | 60 |
| abstract_inverted_index.aspects | 25 |
| abstract_inverted_index.between | 146 |
| abstract_inverted_index.finding | 167 |
| abstract_inverted_index.regions | 14 |
| abstract_inverted_index.related | 138 |
| abstract_inverted_index.reviled | 47 |
| abstract_inverted_index.sharing | 10, 20 |
| abstract_inverted_index.twitter | 33 |
| abstract_inverted_index.various | 24, 111, 120 |
| abstract_inverted_index..Already | 91 |
| abstract_inverted_index.Bengali, | 116 |
| abstract_inverted_index.Nowadays | 43 |
| abstract_inverted_index.OSN’s. | 133 |
| abstract_inverted_index.accuracy | 171 |
| abstract_inverted_index.accurate | 156 |
| abstract_inverted_index.analysis | 105 |
| abstract_inverted_index.behavior | 49 |
| abstract_inverted_index.classify | 159 |
| abstract_inverted_index.identify | 129 |
| abstract_inverted_index.language | 83 |
| abstract_inverted_index.research | 94 |
| abstract_inverted_index.steadily | 41 |
| abstract_inverted_index.Facebook, | 32 |
| abstract_inverted_index.Therefore | 35 |
| abstract_inverted_index.completed | 97 |
| abstract_inverted_index.detecting | 107 |
| abstract_inverted_index.different | 13, 16, 63, 86, 140, 147 |
| abstract_inverted_index.difficult | 90 |
| abstract_inverted_index.existence | 58 |
| abstract_inverted_index.interests | 22 |
| abstract_inverted_index.language. | 100 |
| abstract_inverted_index.languages | 87, 112 |
| abstract_inverted_index.offensive | 163 |
| abstract_inverted_index.platforms | 30, 67 |
| abstract_inverted_index.algorithms | 127 |
| abstract_inverted_index.comparison | 144 |
| abstract_inverted_index.complexity | 81 |
| abstract_inverted_index.constructs | 84 |
| abstract_inverted_index.networking | 29, 55, 66 |
| abstract_inverted_index.parameters | 169 |
| abstract_inverted_index.understand | 79 |
| abstract_inverted_index.algorithms. | 152 |
| abstract_inverted_index.challenging | 76 |
| abstract_inverted_index.classifiers | 141 |
| abstract_inverted_index.increasing. | 42 |
| abstract_inverted_index.influential | 7 |
| abstract_inverted_index.information | 11 |
| abstract_inverted_index.incorporated | 119 |
| abstract_inverted_index.identification | 69 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.18458072 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |