No abstract

In recent years social media micro blogs has gaining popularity due to increasing availability, immediacy and new way of communication medium. The increasing quantity of micro blogging messages creates many challenges for its proper adoption. One such problem of difficulty in accessibility of interested micro blog messages is addressed in our proposed System using NLP technique. The traditional method of message accessing is slow and doesn't establish any semantic and structural relationship between the words in a sentence. The proposed system overcomes this using clustering and labeling of messages having similar semantic and verbal association. The result shows 50% improvement in the message accessibility compared to manual method of searching the particular message in a large micro blogs of 100 pages.