• Mr. Pravin Vjay Thakare
• Dr. Harsha. R. Vyawahare

Many social networking portals such as LinkedIn, Twitter, Facebook, etc. attract many users all over the world. Twitter at the same time receives millions and millions of tweets and in real-time applications sharing, storing, and managing such large information is very outrageous work. Such large amounts of information generated may suffer various challenging issues such as noisy and redundant data to maintain in proper manner. Querying, recovering and retrieval of such h large data were one of the important issues from the future research perspective. Existing systems were mostly worked on the stored and the limited data but not live data. And a research was completely devoted to process the work in easy and efficient manner hence one dynamic approach needed to summarize the data produced by social feeds. Summarization of that data which includes text documents to comprise for the short summary modulation by utilizing the precious keywords of the original document. In this paper, we try to propose a unique technique to generate a meaningful content-based summary within minimum amount of time. This proposed system performs multi-topic summarization on the dataset in less amount of time as compared to the existing systems. Hence increasing the time efficiency with enhancement will be achieved.

Networking, Blogging, Tweets, Data Summarization, etc.

"A Framework Design for Implementation on Summarization of Tweet Streams", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a700-a703, April-2022, Available :http://www.jetir.org/papers/JETIR2204090.pdf

"A Framework Design for Implementation on Summarization of Tweet Streams", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa700-a703, April-2022, Available at : http://www.jetir.org/papers/JETIR2204090.pdf