Social media online opinion summarization using ensemble technique

Today, the world is going towards web due to tremendous growth of Internet. People are taking a help of opinions from web for getting ideas to start a new business, improving its current business or taking knowledge about particular thing from different point of views. Opinions are not always true or beneficial since people write opinion based on its own behavior, emotions, experience which makes people confused by seeing various types of opinions and get failed to take right decision. Therefore, there are needs for summarization of such fraudulent opinions and has become great challenge in today´s e-world. This paper proposed robust feature-based opinion summarization system based on weighting scheme and association rule after preprocessing techniques, also ensemble technique used for feature extraction and finally finding out the orientation of extracted features and then display the summary of reviews.