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This is the final report for Networks & Data Mining Techniques project focusing on mining social network to estimate public opinion about entities and associated keywords. This project mines Twitter for recent feeds and analyzes them to estimate sentiment score, discussed entity and describing keywords in each tweet. This data is then exploited to elicit overall sentiment associated with each entity. Entities and keywords extracted is also used to form an entity-keyword bigraph. This graph is further used to detect entity communities and keywords found within those communities. Presented implementation works in linear time.