An Intelligent Information Retrieval System for Finding Contextual Information on Twitter

Today lot of rich & opinionated data is available on social micro blogging websites like Twitter. Though the data plays an integral role of contemplating the behavior of the crowd much of it is scattered. The underlying model is an attempt to retrieve information from this data and consequently discover knowledge in the context of the user based on his/her comments about a trending event or hash-tag. The proposed model uses basic mining approaches like keyword-extraction, ranking of tweets and summarization of data to meet the objective. The work has been empirically tested for seven hash-tags and an average precision of 0.514 was attained.