Real Time Opinion Polarity Detection in Blogs by Weighted Ranking TF-IDF Algorithm
نویسندگان
چکیده
Blogs are mainly posted in languages where users may not always use accurate and exact grammatically correct language and sometimes short form of the words and sentences are used. this work proposes a unique technique of opinion polarity mining from both RSS feed and stored blog posts without using machine learning and with the help of forward scanning algorithm i.e. TF-IDF[15]. The method first finds the similarity of certain blogs with a particular topic. If the blogs are closely related with a topic, the presence of opinion words and sentences
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Polarity Detection in Blog Comments from Blog Rss Feed by Modified TF - IDF Algorithm
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