Abstrakt

Tweets Mining: Knowledge from the Social Web

G. Thiyagarajan, S.A.K. Jainulabudeen

In the recent years, Social web mining has gained significant attention with case of it‟s an interactive platform via which individual of communities creates and shows user generated content and set of social relations that link people through the world wide web. Social Media becoming most powerful tool for information exchange has not only consumed information but also share and discusses information about aspects of their interest. Information retrieval and Text Mining have gained greater momentum in the recent past. Hence there is a need to mine the social media and generate useful knowledge based on identify interesting pattern from the user. The advantage of social media is the freedom of expressing their thoughts in text without following traditional language grammar‟s eventually this 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 to understanding the user behavior and generating grammar rules pertaining to the tweet‟s language we also need to place the 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 of tweet and to identify the effective tweeters.