Open AccessOpinion Mining and Sentiment Analysis: A Survey
Author(s) -
Mohammad Sadegh Hajmohammadi,
Roliana Ibrahim,
Zulaiha Ali Othman
Publication year - 2012
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v2i3c.2717
Subject(s) - sentiment analysis , computer science , data science , cover (algebra) , domain (mathematical analysis) , information retrieval , world wide web , artificial intelligence , mechanical engineering , mathematical analysis , mathematics , engineering
In the past few years, a great attention has been received by web documents as a new source of individual opinions and experience. This situation is producing increasing interest in methods for automatically extracting and analyzing individual opinion from web documents such as customer reviews, weblogs and comments on news. This increase was due to the easy accessibility of documents on the web, as well as the fact that all these were already machine-readable on gaining. At the same time, Machine Learning methods in Natural Language Processing (NLP) and Information Retrieval were considerably increased development of practical methods, making these widely available corpora. Recently, many researchers have focused on this area. They are trying to fetch opinion information and analyze it automatically with computers. This new research domain is usually called Opinion Mining and Sentiment Analysis. . Until now, researchers have developed several techniques to the solution of the problem. This paper try to cover some techniques and approaches that be used in this area.