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Abstract
This research paper describes the work done towards sentiment extraction from social media posts. We focused on twitter for our data source that helps the users to describe their thoughts and views through short message called as Tweets. The tweets have only 140 character, hence very short to carry views and to analyse user sentiment. We have a twitter training dataset in Punjabi Language. We tried different data mining approach including MaxEnt as classifiers for extracting sentiments. We used one on most popular Data Mining Tool Weka to automatically extract the sentiment of Punjabi tweets into negative, positive or neutral.