- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
With the genesis of the internet and the world wide web, we have seen an unprecedented growth of data and information on the web as well as a huge growth in digital or textual opinions, sentiments and attitudes as remarked upon in reviews. Special attention needs to be given to the processing and understating information used by information retrieval methods and natural language processing methods. One of the main problems in this scope is sentiment analysis whereby a review is classified into two classes, i.e. positive (thumbs up or favorable) or negative (thumbs down or unfavorable) opinions. This paper discusses related issues such as feature selection methods and different sentiment classifications as well as the main approaches currently being taken to solve this problem.