期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：11974
DOI：10.15680/IJIRCCE.2017.0506214
出版社：S&S Publications
摘要：Sentiment analysis is a process of extracting, identifying and categorizing a writer’s emotion, expressedin the form of text, by implying a computational method. The dominance of machine learning and lexicon-basedapproaches in the field of sentiment analysis has motivated this proposition of a hybrid approach that uses supervisedmachine learning methods. The travel domain data is concentrated more due to various reasons mentioned in thisproposal. The proposed hybrid approach is a novel approach to sentiment analysis with an inclusion of effective POStagging is supposed to yield better results.
