Twitsen, A Business Promotional Analyzing Model using Twitter

Twitter is a microblogging service with more than 500 million users which generates over 340 million tweets daily. This paper aims to harness the data from Twitter and measure the sentiment or opinion associated with the tweet message to assists in the feedback measurement of any product or object. It identifies the polarity of the product as positive, negative or neutral. Part Of Speech tagging is used on the text data for linguistic categorization along with Semantex, an automatic text analyzer which groups the verb classes and Wikipedia�s online dictionary, Wikitionary to determine the polarity of adjective in the tweets.