Sentiment analysis is performed on online news feeds, which is in Tamil to categories characteristics of famous events, personalities and places. It becomes valuable source of information which varies from personal expressions to public opinions. People post status messages about their life, share opinions on their political and religious views, express support or protest against social issues, discuss about products in market, education, entertainment etc. Hence this online news feeds have become a powerful platform for millions of users to express their opinion. In this paper we have come up with a simple idea for sentimental analysis, POS tagger is used for Categorization of named entities (primarily proper nouns) with their characteristics (adjectives), found in the Tamil news feeds is done to develop a knowledge base. There is a huge necessity in the areas of Sentiment Analysis to have an efficient and supportive working model for the construction of an appropriate knowledge base. This knowledge base can later be used for analysis.
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R. G., K. Prasath, N., and Rajasundari, T., “Sentimental Analysis on Tamil News Feed”, Journal of Advanced Research in Dynamical and Control Systems, vol. 9, pp. 397-399, 2017.