News Coverage of Libraries in India: An NLP-based Analysis of News indexed in Google

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dc.contributor.authorMazumder, Sourav
dc.contributor.authorBarui, Tapan
dc.date.accessioned2024-10-03T06:58:11Z
dc.date.available2024-10-03T06:58:11Z
dc.date.issued2024-09-19
dc.description12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024en_US
dc.description.abstractThe purpose of the study is to analyse the news coverage of libraries in India from April 2023 to March 2024. A total of 166 news titles and metadata were collected manually using a structured query using Google. Natural Language Processing (NLP) techniques including topic modelling, Named Entity Recognition (NER), and Sentiment Analysis were used to explore trends in news coverage, news topics, entities, and sentiments from the news titles. Major Findings of the study revealed that August 2023 is the most common month in terms of news coverage; the Times of India is the significant news source; “Academic Library” related topics dominated the news discourse; Organisations and location-based entities as the top entities found in the news titles, and neutral and positive sentiments expressed mostly in the news titles. The findings hold implications for library stakeholders and media professionals and provide valuable information regarding the portrayal of libraries in the news media landscape. This study uses a unique approach using mixed NLP techniques to get insights into library news topics, named entities, and sentiments and shows how libraries in India receive media attention.en_US
dc.identifier.isbn978-93-81232-13-2
dc.identifier.urihttp://ir.inflibnet.ac.in/handle/1944/2477
dc.language.isoenen_US
dc.publisherINFLIBNET Centre Gandhinagaren_US
dc.subjectBERTopic modelling,en_US
dc.subjectEntity Extraction,en_US
dc.subjectSentiment Polarity,en_US
dc.subjectLibrary News,en_US
dc.subjectNLP Techniques,en_US
dc.titleNews Coverage of Libraries in India: An NLP-based Analysis of News indexed in Googleen_US
dc.typeArticleen_US

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