• Priyanka Gonnade

In this new era, where tremendous information is available on the internet. It is most important to provide the improved mechanism to extract the information quickly and accurately. This leads to the difficulty for human beings to manually extract the summary of large documents of text. There is plenty of text material available on web. The difficulty is in looking for the exact document from the number of documents available, and extracting the required one. To solve all the above problems, automatic text summarization arises. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings.

Extractive summary, Abstractive summary, Scores, Text Mining, Ranking, Stop word, Stemming, Cue words

"Automatic Text Summarization System Using Extraction Based Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3168-3173, July-2015, Available :http://www.jetir.org/papers/JETIR1507033.pdf

"Automatic Text Summarization System Using Extraction Based Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3168-3173, July-2015, Available at : http://www.jetir.org/papers/JETIR1507033.pdf