Determination of Polarity of Sentences using Sentiment Orientation System
نویسندگان
چکیده
Opinions are always very important for human beings. Whenever a decision has been carried out, people always consult with the friends and relatives. But from the last few years , the impact of the web has surprisingly increased, for peoples web documents act as a new source of opinion. Nowadays each company allows its customers to write their opinions related to their products, so large numbers of customer opinions i.e. reviews are available on the Web related to every product. To analyze this large amount of information it is required to develop a method that automatically classifies these reviews. Opinion Mining or Sentiment Analysis is the mining of opinions and emotions automatically from text through Natural Language Processing (NLP). In this paper an opinion mining system named as “Sentiment orientation System” is proposed using unsupervised technique to determine the polarity of sentences. Negation is also handled in the proposed system. Experimental results using reviews of products show the effectiveness of the system.
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