• Akash Kamble
• Vivek Chaudhary
• Adesh Dhakane
• Abhijit Ghorpade

Multi-document summarization is used for generating the summary of the documents which will provide the central idea about the documents in short. As large amount of information is available on internet, there is a need of system that can provide informative summary in a short time period. In this paper, we have proposed a system generating the summary of multiple documents related to a particular topic as well as it will show summary of particular document. In our proposed system, we use tokenization and stopword removal method as a preprocessing step of latent dirichlet allocation (LDA) model. Our approach also uses sentence clustering and term frequency algorithm for generating short text summary.

Summary, Stop-word removal, Clustering, Term frequency

"MULTI-DOCUMENT SUMMARIZATION USING SENTENCE CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.205-208, May-2019, Available :http://www.jetir.org/papers/JETIRBO06037.pdf

"MULTI-DOCUMENT SUMMARIZATION USING SENTENCE CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp205-208, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06037.pdf