Log in to save to my catalogue

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bdbe395d6bf04814ba99541c4c3507c0

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

About this item

Full title

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-11

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

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...

Alternative Titles

Full title

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

Identifiers

Primary Identifiers

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

How to access this item