Streamlining Information: Creating YouTube Video Summarizer Using Machine Learning Article Swipe
A. K. Srivastava
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.54060/a2zjournals.jmss.63
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.54060/a2zjournals.jmss.63
The aim of this study is to develop a user interface facilitating the retrieval of YouTube video summaries through the integration of Natural Language Processing (NLP) and Machine Learning techniques. With the continuous influx of videos uploaded to YouTube on a daily basis, locating relevant content has become increasingly challenging. Often, significant time and effort are expended in searching for desired content, with outcomes often proving futile due to the inability to extract meaningful information. Our project addresses this issue by providing a solution that efficiently summarizes videos, presenting users with concise yet comprehensive insights. Utilizing an abstractive summarization model, the system extracts transcripts from YouTube videos and generates condensed summaries, effectively reducing the time required for content consumption while preserving crucial information. While the implementation phase is still in progress, this paper presents the conceptual framework and initial findings of our research endeavor.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.54060/a2zjournals.jmss.63
- OA Status
- diamond
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406569524
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406569524Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.54060/a2zjournals.jmss.63Digital Object Identifier
- Title
-
Streamlining Information: Creating YouTube Video Summarizer Using Machine LearningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
A. K. SrivastavaList of authors in order
- Landing page
-
https://doi.org/10.54060/a2zjournals.jmss.63Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.54060/a2zjournals.jmss.63Direct OA link when available
- Concepts
-
Computer science, Multimedia, Artificial intelligence, Human–computer interactionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406569524 |
|---|---|
| doi | https://doi.org/10.54060/a2zjournals.jmss.63 |
| ids.doi | https://doi.org/10.54060/a2zjournals.jmss.63 |
| ids.openalex | https://openalex.org/W4406569524 |
| fwci | 7.52786694 |
| type | article |
| title | Streamlining Information: Creating YouTube Video Summarizer Using Machine Learning |
| biblio.issue | 2 |
| biblio.volume | 4 |
| biblio.last_page | 9 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T13910 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9843999743461609 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3300 |
| topics[0].subfield.display_name | General Social Sciences |
| topics[0].display_name | Computational and Text Analysis Methods |
| topics[1].id | https://openalex.org/T10028 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9735999703407288 |
| 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 | Topic Modeling |
| topics[2].id | https://openalex.org/T11439 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.968999981880188 |
| 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 | Video Analysis and Summarization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7400707006454468 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C49774154 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5345356464385986 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q131765 |
| concepts[1].display_name | Multimedia |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.40252193808555603 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C107457646 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3823668956756592 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[3].display_name | Human–computer interaction |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7400707006454468 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/multimedia |
| keywords[1].score | 0.5345356464385986 |
| keywords[1].display_name | Multimedia |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.40252193808555603 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[3].score | 0.3823668956756592 |
| keywords[3].display_name | Human–computer interaction |
| language | en |
| locations[0].id | doi:10.54060/a2zjournals.jmss.63 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4387278551 |
| locations[0].source.issn | 2583-1798 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2583-1798 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Management and Service Science (JMSS) |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| 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 | Journal of Management and Service Science (JMSS) |
| locations[0].landing_page_url | https://doi.org/10.54060/a2zjournals.jmss.63 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5091098469 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3728-9998 |
| authorships[0].author.display_name | A. K. Srivastava |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Abhash Srivastava |
| authorships[0].is_corresponding | True |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.54060/a2zjournals.jmss.63 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-01-19T00:00:00 |
| display_name | Streamlining Information: Creating YouTube Video Summarizer Using Machine Learning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T13910 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9843999743461609 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3300 |
| primary_topic.subfield.display_name | General Social Sciences |
| primary_topic.display_name | Computational and Text Analysis Methods |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.54060/a2zjournals.jmss.63 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4387278551 |
| best_oa_location.source.issn | 2583-1798 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2583-1798 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Management and Service Science (JMSS) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| 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 | Journal of Management and Service Science (JMSS) |
| best_oa_location.landing_page_url | https://doi.org/10.54060/a2zjournals.jmss.63 |
| primary_location.id | doi:10.54060/a2zjournals.jmss.63 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4387278551 |
| primary_location.source.issn | 2583-1798 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2583-1798 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Management and Service Science (JMSS) |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| 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 | Journal of Management and Service Science (JMSS) |
| primary_location.landing_page_url | https://doi.org/10.54060/a2zjournals.jmss.63 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 8, 40, 82 |
| abstract_inverted_index.an | 96 |
| abstract_inverted_index.by | 80 |
| abstract_inverted_index.in | 57, 129 |
| abstract_inverted_index.is | 5, 127 |
| abstract_inverted_index.of | 2, 14, 21, 34, 140 |
| abstract_inverted_index.on | 39 |
| abstract_inverted_index.to | 6, 37, 68, 71 |
| abstract_inverted_index.Our | 75 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.aim | 1 |
| abstract_inverted_index.and | 26, 53, 107, 137 |
| abstract_inverted_index.are | 55 |
| abstract_inverted_index.due | 67 |
| abstract_inverted_index.for | 59, 116 |
| abstract_inverted_index.has | 46 |
| abstract_inverted_index.our | 141 |
| abstract_inverted_index.the | 12, 19, 31, 69, 100, 113, 124, 134 |
| abstract_inverted_index.yet | 92 |
| abstract_inverted_index.With | 30 |
| abstract_inverted_index.from | 104 |
| abstract_inverted_index.that | 84 |
| abstract_inverted_index.this | 3, 78, 131 |
| abstract_inverted_index.time | 52, 114 |
| abstract_inverted_index.user | 9 |
| abstract_inverted_index.with | 62, 90 |
| abstract_inverted_index.(NLP) | 25 |
| abstract_inverted_index.While | 123 |
| abstract_inverted_index.daily | 41 |
| abstract_inverted_index.issue | 79 |
| abstract_inverted_index.often | 64 |
| abstract_inverted_index.paper | 132 |
| abstract_inverted_index.phase | 126 |
| abstract_inverted_index.still | 128 |
| abstract_inverted_index.study | 4 |
| abstract_inverted_index.users | 89 |
| abstract_inverted_index.video | 16 |
| abstract_inverted_index.while | 119 |
| abstract_inverted_index.Often, | 50 |
| abstract_inverted_index.basis, | 42 |
| abstract_inverted_index.become | 47 |
| abstract_inverted_index.effort | 54 |
| abstract_inverted_index.futile | 66 |
| abstract_inverted_index.influx | 33 |
| abstract_inverted_index.model, | 99 |
| abstract_inverted_index.system | 101 |
| abstract_inverted_index.videos | 35, 106 |
| abstract_inverted_index.Machine | 27 |
| abstract_inverted_index.Natural | 22 |
| abstract_inverted_index.YouTube | 15, 38, 105 |
| abstract_inverted_index.concise | 91 |
| abstract_inverted_index.content | 45, 117 |
| abstract_inverted_index.crucial | 121 |
| abstract_inverted_index.desired | 60 |
| abstract_inverted_index.develop | 7 |
| abstract_inverted_index.extract | 72 |
| abstract_inverted_index.initial | 138 |
| abstract_inverted_index.project | 76 |
| abstract_inverted_index.proving | 65 |
| abstract_inverted_index.through | 18 |
| abstract_inverted_index.videos, | 87 |
| abstract_inverted_index.Language | 23 |
| abstract_inverted_index.Learning | 28 |
| abstract_inverted_index.content, | 61 |
| abstract_inverted_index.expended | 56 |
| abstract_inverted_index.extracts | 102 |
| abstract_inverted_index.findings | 139 |
| abstract_inverted_index.locating | 43 |
| abstract_inverted_index.outcomes | 63 |
| abstract_inverted_index.presents | 133 |
| abstract_inverted_index.reducing | 112 |
| abstract_inverted_index.relevant | 44 |
| abstract_inverted_index.required | 115 |
| abstract_inverted_index.research | 142 |
| abstract_inverted_index.solution | 83 |
| abstract_inverted_index.uploaded | 36 |
| abstract_inverted_index.Utilizing | 95 |
| abstract_inverted_index.addresses | 77 |
| abstract_inverted_index.condensed | 109 |
| abstract_inverted_index.endeavor. | 143 |
| abstract_inverted_index.framework | 136 |
| abstract_inverted_index.generates | 108 |
| abstract_inverted_index.inability | 70 |
| abstract_inverted_index.insights. | 94 |
| abstract_inverted_index.interface | 10 |
| abstract_inverted_index.progress, | 130 |
| abstract_inverted_index.providing | 81 |
| abstract_inverted_index.retrieval | 13 |
| abstract_inverted_index.searching | 58 |
| abstract_inverted_index.summaries | 17 |
| abstract_inverted_index.Processing | 24 |
| abstract_inverted_index.conceptual | 135 |
| abstract_inverted_index.continuous | 32 |
| abstract_inverted_index.meaningful | 73 |
| abstract_inverted_index.presenting | 88 |
| abstract_inverted_index.preserving | 120 |
| abstract_inverted_index.summaries, | 110 |
| abstract_inverted_index.summarizes | 86 |
| abstract_inverted_index.abstractive | 97 |
| abstract_inverted_index.consumption | 118 |
| abstract_inverted_index.effectively | 111 |
| abstract_inverted_index.efficiently | 85 |
| abstract_inverted_index.integration | 20 |
| abstract_inverted_index.significant | 51 |
| abstract_inverted_index.techniques. | 29 |
| abstract_inverted_index.transcripts | 103 |
| abstract_inverted_index.challenging. | 49 |
| abstract_inverted_index.facilitating | 11 |
| abstract_inverted_index.increasingly | 48 |
| abstract_inverted_index.information. | 74, 122 |
| abstract_inverted_index.comprehensive | 93 |
| abstract_inverted_index.summarization | 98 |
| abstract_inverted_index.implementation | 125 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5091098469 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.96326603 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |