A Survey on Template Based Abstractive Summarization of Twitter Topic Using Ensemble SVM with Speech Act
Gulab R. Shaikh, Digambar M. Padulkar · 2013
In this todays Internet world, social media service such as Twitter is very popular and used worldwide. In this survey paper we are going to describe various methodology and approches that are useful in twitter topic summarization. In this survey paper, we have described various approch such as analysing and summarizing of twitter tweets using SPUR (Summarization via Pattern Utility and Ranking). In Participant-based Event Summarization we are able to identify each participant that are included in event and generate summary of that event. In automatic summarization of social media we have described a search and summarization framework to extract relevant representative tweets from an unfiltered tweet stream. Also we have described sequential summarization technique for summary creation that uses stream-based approach and the semantic-based approach that create good quality summary. We have also described Phrase Reinforcement algorithm and PageRank algorithm that generate summary by extracting information from the tweets. Twitter topic summarization must handle various numerious, short, dissimilar and noisy nature of tweet. So all the approches that we have described here have its own advantages and limitation over the other. In this survey paper we have try to describe various implemented approches, algorithm, evalution technique and their advantages and limitations.