TAILIEUCHUNG - Conversational based method for tweet contextualization

In this paper, we treat the problem of tweet contextualization. We propose a specific method allowing to automatically contextualize tweets using information coming from social user interactions. | CrossMark Vietnam J Comput Sci 2017 4 223-232 DOI s4O595-016-0092-y REGULAR PAPER Conversational based method for tweet contextualization Rami Belkaroui 1 Rim Faiz2 Received 29 April 2016 Accepted 23 December 2016 Published online 9 January 2017 The Author s 2017. This article is published with open access at Abstract Bound to 140 characters tweets are short and ambiguous by nature. It can be hard for a user without any kind of context to effectively understand what the tweet is about. Due to this restriction it is therefore necessary to know the tweet s context to make it easily understandable to a reader. In this paper we treat the problem of tweet contextualization. We propose a specific method allowing to automatically contextualize tweets using information coming from social user interactions. Contrary to classical contextualization methods that only consider text information which is insufficient since text information on Twitter is very sparse we combine different types of signals social temporal textual . Our experimental results validate the benefits of our approach and confirm that generated contexts contain relevant information with given tweet. Keywords Tweet contextualization Social influence Twitter conversations Social context 1 Introduction Since the recent few years microblogging has become a very popular form of communication that attracts more and more users due to the ease and the speed of information sharing. Daily people are posting millions of updates under the form B Rami Belkaroui Rim Faiz 1 LARODEC ISG Tunis University of Tunis Bardo Tunis Tunisia 2 LARODEC IHEC Carthage University of Carthage Carthage Presidency Carthage Tunisia of short text messages on microblogging services such as Twitter1 and Facebook2. The size of these status updates is limited by a maximum number of characters. This limitation causes the use of a special vocabulary that is not usually used .

• Kỹ thuật lập trình
• Tweet contextualization
• Social influence
• Twitter conversations
• Social context
• Automatically contextualize