CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Survey on Sentiment Analysis of (Product) Reviews

by A. Nisha Jebaseeli, E. Kirubakaran
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 11
Year of Publication: 2012
Authors: A. Nisha Jebaseeli, E. Kirubakaran
10.5120/7234-0242

A. Nisha Jebaseeli, E. Kirubakaran . A Survey on Sentiment Analysis of (Product) Reviews. International Journal of Computer Applications. 47, 11 ( June 2012), 36-39. DOI=10.5120/7234-0242

@article{ 10.5120/7234-0242,
author = { A. Nisha Jebaseeli, E. Kirubakaran },
title = { A Survey on Sentiment Analysis of (Product) Reviews },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number11/7234-0242/ },
doi = { 10.5120/7234-0242 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:37.104105+05:30
%A A. Nisha Jebaseeli
%A E. Kirubakaran
%T A Survey on Sentiment Analysis of (Product) Reviews
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 11
%P 36-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the help of wireless technology, the internet becomes a valuable place for online learning, exchanging ideas, reviews for a product or service. Reviews in the internet could be in millions for a product or services which make it difficult to track and understand customer opinions. Sentiment analysis is an emerging area of research to extract the subjective information in source materials by applying Natural Language processing, Computational Linguistics and text analytics and classify the polarity of the opinion stated. This paper provides an overall survey about sentiment analysis or opinion mining related to product reviews.

References
  1. Bing Liu,"Exploring User Opinions in Recommender Systems", Proceeding of the second KDD workshop on Large Scale Recommender Systems and the Netflix Prize Competition", Aug 24, 2008, Las Vegas, Nevada, USA.
  2. Dave. D, Lawrence. A, Pennock. D,"Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews", Proceedings of International World Wide Web Conference (WWW'03), 2003.
  3. Turney, P, "Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews", ACL'02, 2002.
  4. Lina Zhou, Pimwadee Chaovalit, "Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches", Proceedings of the 38th Hawaii International Conference on system sciences, 2005.
  5. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan, "Thumbs up? Sentiment classification using machine learning techniques", In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 79–86, 2002.
  6. Zhu, Jingbo Wang, Huizhen Zhu, Muhua Tsou, Benjamin K. Ma, Matthew, "Aspect-Based Opinion Polling from Customer Reviews", IEEE Transactions on Affective Computing, Volume: 2,Issue:1 On page(s): 37. Jan-June 2011.
  7. Yi, J. , T. Nasukawa, R. Bunescu, and W. Niblack: 2003, "Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques", In: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM-2003). Melbourne, Florida.
  8. Alekh Agarwal and Pushpak Bhattacharyya, "Sentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified", In Proceedings of the International Conference on Natural Language Processing (ICON), 2005.
  9. Ahmed Abbasi, Hsinchun Chen, And Arab Salem, "Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums", ACM Trans. Inf. Syst. , Vol. 26, No. 3. (June 2008), pp. 1-34.
  10. Anindya Ghose, Panagiotis G. Ipeirotis, "Designing Novel Review Ranking Systems: Predicting Usefulness and Impact of Reviews", Proceedings of the Ninth International conference on Electronic commerce ICEC07 (2007), pp: 303-310.
  11. Michael Gamon, Anthony Aue, Simon Corston-Oliver, and Eric Ringger, "Pulse: Mining Customer Opinions from Free Text Natural Language Processing", Microsoft Research, Redmond, WA 98052, USA.
  12. Minqing Hu and Bing Liu, "Mining and Summarizing Customer Reviews", Proceedings of the tenth ACM SIGKDD International conference on knowledge discovery in data mining (KDD-2004), August 22-25.
  13. Guang Qiu, Bing Liu, Jiajun Bu and Chun Chen. "Opinion Word Expansion and Target Extraction through Double Propagation. " Computational Linguistics, March 2011, Vol. 37, No. 1: 9. 27.
  14. Lei Zhang and Bing Liu. "Identifying Noun Product Features that Imply Opinions. " ACL-2011 (short paper), Portland, Oregon, USA, June 19-24, 2011.
  15. Xiaowen Ding. A Holistic Lexicon-Based Approach to Opinion Mining- WSDM'08, February 11-12, 2008, Palo Alto, California, USA. 2008 ACM 978-1-59593-927-9/08/0002.
Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining Product Reviews Sentiment Analysis

Powered by PhDFocusTM