A sentiment-based approach to twitter user recommendation

CEUR Workshop Proceedings

Volumn 1066, Issue , 2013, Pages

  Gurini, Davide Feltoni ^a   Gasparetti, Fabio ^a   Micarelli, Alessandro ^a   Sansonetti, Giuseppe ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

Sentiment analysis; Twitter; User recommendation

Indexed keywords

RECOMMENDER SYSTEMS;

COMPARATIVE ANALYSIS; CONTENT-BASED APPROACH; RECOMMENDER ALGORITHMS; SENTIMENT ANALYSIS; SOCIAL NETWORK INFORMATIONS; TWITTER; USER RECOMMENDATIONS; USER-GENERATED CONTENT;

SOCIAL NETWORKING (ONLINE);

EID: 84924405569     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. F. Abel, Q. Gao, G.-J. Houben, and K. Tao. Analyzing temporal dynamics in twitter profiles for personalized recommendations in the social web. In Proceedings of ACM WebSci'11, 3rd International Conference on Web Science, Koblenz, Germany. ACM, June 2011.
2. A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and R. Passonneau. Sentiment analysis of twitter data. In Proceedings of the Workshop on Languages in Social Media, LSM'11, pages 30-38, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
3. G. Arru, D. Feltoni Gurini, F. Gasparetti, A. Micarelli, and G. Sansonetti. Signal-based user recommendation on twitter. Social Recommender Systems 2013, 2013.
4. M. Bank and J. Franke. Social networks as data source for recommendation systems. In F. Buccafurri and G. Semeraro, editors, E-Commerce and Web Technologies, volume 61 of Lecture Notes in Business Information Processing, pages 49-60. Springer Berlin Heidelberg, 2010.
5. C. Biancalana, F. Gasparetti, A. Micarelli, and G. Sansonetti. An approach to social recommendation for context-aware mobile services. ACM Trans. Intell. Syst. Technol., 4(1):10:1-10:31, Feb. 2013.
6. C. Biancalana, F. Gasparetti, A. Micarelli, and G. Sansonetti. Social semantic query expansion. ACM Trans. Intell. Syst. Technol., 4(4), 2013. Forthcoming issue.
7. C. Biancalana and A. Micarelli. Social tagging in query expansion: A new way for personalized web search. In CSE (4), pages 1060-1065. IEEE Computer Society, 2009.
8. J. Chen, W. Geyer, C. Dugan, M. Muller, and I. Guy. Make new friends, but keep the old: recommending people on social networking sites. In Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI'09, pages 201-210, New York, NY, USA, 2009. ACM.
9. S. Faridani. Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search. In Proceedings of the fifth ACM Conference on Recommender systems, RecSys'11, pages 355-358, New York, NY, USA, 2011. ACM.
10. J. Freyne, M. Jacovi, I. Guy, and W. Geyer. Increasing engagement through early recommender intervention. In Proceedings of the third ACM Conference on Recommender Systems, RecSys'09, pages 85-92, New York, NY, USA, 2009. ACM.
11. A. Go, R. Bhayani, and L. Huang. Twitter sentiment classification using distant supervision. Processing, pages 1-6, 2009.
12. I. Guy, I. Ronen, and E. Wilcox. Do you know?: recommending people to invite into your social network. In Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'09, pages 77-86, New York, NY, USA, 2009. ACM.
13. J. Hannon, K. McCarthy, and B. Smyth. Finding useful users on twitter: twittomender the followee recommender. In Proceedings of the 33rd European Conference on Advances in Information Retrieval, ECIR'11, pages 784-787, Berlin, Heidelberg, 2011. Springer-Verlag.
14. H. John, B. Mike, and S. Barry. Recommending twitter users to follow using content and collaborative filtering approaches. RecSys'10: Proceedings of the 4th ACM Conference on Recommender Systems, 26-30(10):8, 09 2010.
15. B. Liu. Sentiment analysis and subjectivity. Handbook of Natural Language Processing, pages 627-666, 2010.
16. A. Pak and P. Paroubek. Twitter as a corpus for sentiment analysis and opinion mining. volume 2010, pages 1320-1326, 2010.
17. V. K. Singh, M. Mukherjee, and G. K. Mehta. Combining collaborative filtering and sentiment classification for improved movie recommendations. In Proceedings of the 5th International Conference on Multi-Disciplinary Trends in Artificial Intelligence, MIWAI'11, pages 38-50, Berlin, Heidelberg, 2011. Springer-Verlag.