Personalized sentiment classification based on latent individuality of microblog users

Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ge Yu, Kam Fai Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Sentiment expression in microblog posts often reflects user's specific individuality due to different language habit, personal character, opinion bias and so on. Existing sentiment classification algorithms largely ignore such latent personal distinctions among different microblog users. Meanwhile, sentiment data of microblogs are sparse for individual users, making it infeasible to learn effective personalized classifier. In this paper, we propose a novel, extensible personalized sentiment classification method based on a variant of latent factor model to capture personal sentiment variations by mapping users and posts into a low-dimensional factor space. We alleviate the sparsity of personal texts by decomposing the posts into words which are further represented by the weighted sentiment and topic units based on a set of syntactic units of words obtained from dependency parsing results. To strengthen the representation of users, we leverage users following relation to consolidate the individuality of a user fused from other users with similar interests. Results on real-world microblog datasets confirm that our method outperforms state-of-the-art baseline algorithms with large margins.

Original languageEnglish
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence
PublisherInternational Joint Conferences on Artificial Intelligence
Pages2277-2283
Number of pages7
Volume2015-January
ISBN (Print)9781577357384
Publication statusPublished - 2015
Event24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentina
Duration: 25 Jul 201531 Jul 2015

Other

Other24th International Joint Conference on Artificial Intelligence, IJCAI 2015
CountryArgentina
CityBuenos Aires
Period25/7/1531/7/15

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ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Song, K., Feng, S., Gao, W., Wang, D., Yu, G., & Wong, K. F. (2015). Personalized sentiment classification based on latent individuality of microblog users. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2015-January, pp. 2277-2283). International Joint Conferences on Artificial Intelligence.

Personalized sentiment classification based on latent individuality of microblog users. / Song, Kaisong; Feng, Shi; Gao, Wei; Wang, Daling; Yu, Ge; Wong, Kam Fai.

IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January International Joint Conferences on Artificial Intelligence, 2015. p. 2277-2283.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Song, K, Feng, S, Gao, W, Wang, D, Yu, G & Wong, KF 2015, Personalized sentiment classification based on latent individuality of microblog users. in IJCAI International Joint Conference on Artificial Intelligence. vol. 2015-January, International Joint Conferences on Artificial Intelligence, pp. 2277-2283, 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, 25/7/15.
Song K, Feng S, Gao W, Wang D, Yu G, Wong KF. Personalized sentiment classification based on latent individuality of microblog users. In IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January. International Joint Conferences on Artificial Intelligence. 2015. p. 2277-2283
Song, Kaisong ; Feng, Shi ; Gao, Wei ; Wang, Daling ; Yu, Ge ; Wong, Kam Fai. / Personalized sentiment classification based on latent individuality of microblog users. IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January International Joint Conferences on Artificial Intelligence, 2015. pp. 2277-2283
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