Incorporating author preference in sentiment rating prediction of reviews

WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Volumn , Issue , 2013, Pages 47-48

  Mukherjee, Subhabrata ^a   Basu, Gaurab ^a   Joshi, Sachindra ^a  

^a IBM RESEARCH INDIA   (India)

Author keywords

Aspect; Author preference; Rating; Sentiment analysis

Indexed keywords

DATA MINING; FORECASTING;

ASPECT; AUTHOR PREFERENCE; PREDICTION MODELLING; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION;

SENTIMENT ANALYSIS;

EID: 84893070697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2487805     Document Type: Conference Paper

References (8)

1. Pang, B., Lee, L., and Vaithyanathan, S., 2002. Thumbs up? Sentiment Classification Using Machine Learning Techniques. In Proc. of EMNLP 2002.
2. Pang, B., Lee, L., and Vaithyanathan, S., 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proc. of ACL 2005.
3. B. Snyder and R. Barzilay. 2007. Multiple Aspect Ranking Using the Good Grief Algorithm. In Proc. of HLT-NAACL.
4. Wu, Zhibiao and Martha Palmer. 1994. Verb semantics and lexical selection. In Proc. of ACL, 1994.
5. Subhabrata Mukherjee and Pushpak Bhattacharyya. 2012. Feature specific sentiment analysis for product reviews. Part 1, Lecture Notes in Computer Science, Springer 7181:475- 487.
6. Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
7. http://www.tripadvisor.com/. 2012. Website.
8. http://en.wikipedia.org/wiki/Pearson-productmoment-correlation- coefficient. 2012. Website.