Dynamic Twitter Topic Summarization Using Speech Acts

Abstract

The enormous growth of social media platforms such as Facebook and Twitter caused content and comment explosion. Summarization of such comments help in value derivation and become useful in policy making. The tweets are different in nature like noisy, short, and dissimilar. Twitter’s capacity to summarize a message or issue concisely and effectively is what gives it this power. To improve their tweets and reach a larger audience, users frequently use strategies like threading, hashtags, and multimedia attachments. There are several methods applied by researchers, but these are error prone. To summarize the tweets, we have taken the help of speech acts. The speech acts are helpful to guide the summarization based on behavior of the tweet with an organized view of the tweets. The approach is collecting the tweets, preprocessing, classification, and summarization. After the summarization evaluate the tweets based on different categories and nature of the tweet.