期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：In the recent years, Social web mining has gained significant attention with case of it‟s an interactiveplatform via which individual of communities creates and shows user generated content and set of social relations thatlink people through the world wide web. Social Media becoming most powerful tool for information exchange has notonly consumed information but also share and discusses information about aspects of their interest. Informationretrieval and Text Mining have gained greater momentum in the recent past. Hence there is a need to mine the socialmedia and generate useful knowledge based on identify interesting pattern from the user. The advantage of socialmedia is the freedom of expressing their thoughts in text without following traditional language grammar‟s eventuallythis becomes the challenge for mining the social media. Moreover the volume of information is too huge and dynamic.The objective of this proposed work is to mine the social media, in our case twitter. The challenge involved is tounderstanding the user behavior and generating grammar rules pertaining to the tweet‟s language we also need to placethe proximity of grammar used. The contribution of our work providing information retrieval tools with visual support.By applying the proposed algorithm, a study can be made on user behavior (Tweeters), fact analysis on the context oftweet and to identify the effective tweeters.
