期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：12
页码：12054
DOI：10.15680/IJIRSET.2015.0412053
出版社：S&S Publications
摘要：As the Internet is reaching to more people within the world, there is huge increase in Hindi content. There are more requirements to perform sentiment analysis for Hindi Language. Sentiment analysis is the process of finding out the emotional tone behind a series of words which is used to gain and understand the attitudes, opinions and emotions expressed from language. Sentiment Analysis involves capturing of user.s behavior, likes and dislikes of an individual from the text. The work of most o f the sentiment analysis system is to identify the sentiments express over an entity and classify it into either positive, negative or neutral sentiment. Our proposed system for sentiment analysis of H indi health news uses own corpus to find the overall sentiment associated with the document; polarity of words in the review are extracted from corpus and then final aggregated polarity is calculated which can sum as either positive, negative or neutral. Neural Network is used to train the polarity words stored in database to make the processing faster
关键词：Sentiment Analysis; Polarity; Natural Language Processing; Corpus; Machine Translation; Unicode.
