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Decision Making Using Sentiment Analysis from Twitter

M.Vasuki, J.Arthi, K.Kayalvizhi

More Social Networks used as a platform for millions of users to share their thoughts and opinions about different aspects so dataset become larger. For example Twitter is a rich source of information for decision making using Sentiment analysis. Sentiment analysis to provide better decision making given to particular person, product or any service. Sentiment analysis and Hadoop tool has been used to process the dataset. Sentiment analysis over the Twitter offers organizations a fast and effective way to monitor the publics’ feelings towards their brands. It was focuses to predict the polarity of words and then classify them into positive and negative feelings with the aim of identifying attitude and opinions that are expressed in any form or language. The proposed method includes various pre-processing steps before feeding the text to the classifier and Map reduce algorithm used for getting accurate decision about product from different perception of feedback from users. Experimental results show that the proposed technique overcomes the previous limitations and achieves higher accuracy when compared to similar technique.