This Paper explains the importance of Sentiment Analysis in today's business. Information which is hidden as unstructured data in the Internet can be utilized more efficiently. In this paper we quote an approach which explains the experiment for collection of news data and analyzing the sentiments for those data. The results provide almost accurate analysis outcomes with a few discrepancies. These are also explained and research is in progress towards making an efficient system.
BALASUBRAMANIAN, KARTHIK and CHANDRAN, APARAJITH
"AUTOMATED SENTIMENT ANALYSIS AN AUTOMATED ANALYSIS OF NEWS FEEDS,"
Graduate Research in Engineering and Technology (GRET): Vol. 1
, Article 12.
Available at: https://www.interscience.in/gret/vol1/iss2/12
Aerospace Engineering Commons, Business Commons, Computational Engineering Commons, Electrical and Computer Engineering Commons, Industrial Technology Commons, Mechanical Engineering Commons, Physical Sciences and Mathematics Commons