A Survey Paper: Areas, Techniques and Challenges of Opinion Mining
Opinion Mining is a promising discipline, defined as an intersection of information retrieval and computational linguistic techniques to deal with the opinions expressed in a document. The field aims at solving the problems related to opinions about products, Politian in newsgroup posts, review sites, comments on Facebook posts and twitter etc. This paper is about to covers the techniques, applications, long and short future research areas, Research gaps and future challenges in opinion mining. Further, an attempt has been made to discuss in detail the use of supervised, unsupervised, machine learning and case based reasoning techniques in opinion mining to perform computational treatment of sentiments.
Keywords: Keywords: Data mining, web mining, opinion mining, sentiment classification, supervised learning, unsupervised learning, CBR, machine learning, knowledge discovery in database, classification, clustering, sentiment analysis
Download Full-Text
ABOUT THE AUTHOR
Ayesha Rashid
Ayesha Rashid is student of MS in Department of Computer Science and Software Engineering. She Passed her Master's Degree in Computer Science With distinction from University of Gujrat. she is working as Lecturer in Faculty of Computer Science, University of Gujrat since November, 2009. Her Research Areas are Data Mining, Machine Learning, Databases and different programming languages.
Ayesha Rashid
Ayesha Rashid is student of MS in Department of Computer Science and Software Engineering. She Passed her Master's Degree in Computer Science With distinction from University of Gujrat. she is working as Lecturer in Faculty of Computer Science, University of Gujrat since November, 2009. Her Research Areas are Data Mining, Machine Learning, Databases and different programming languages.
