Automatic Summarization of Tweets in Providing Indonesian Trending Topic Explanation

AbstractTrending topic is one of Twitter's features to provide its users with the current discussion theme and hold big potential to give recent news and information. However, Twitter only gives a list of topics and often people do not understand what the meaning of each topic is. This paper will describe the characteristic of trending topic and try to automatically give explanation about trending topic according to their tweet collections. Although several tweet summarization techniques exist now, none of them is focusing on trending topic. We evaluate sentence similarity as indicator for trending topic's category and propose a new method to automatically generate explanation for trending topic. We found that there is a correlation between trending topics’ characteristic with the explanation generation method