Multiclass Sentiment Analysis with Restaurant Reviews
نویسندگان
چکیده
In the era of the web, a huge amount of information is now flowing over the network. Since the range of web content covers subjective opinion as well as objective information, it is now common for people to gather information about products and services that they want to buy. However since a considerable amount of information exists as text-fragments without having any kind of numerical scales, it is hard to classify their evaluation efficiently without reading full text. This paper focuses on extracting scored ratings from textfragments on the web and suggests various experiments in order to improve the quality of a classifier.
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