Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation
Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extr...
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Full title
Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bdbe395d6bf04814ba99541c4c3507c0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bdbe395d6bf04814ba99541c4c3507c0
Other Identifiers
ISSN
1076-2787
E-ISSN
1099-0526
DOI
10.1155/2020/8892552