• Apexa Bhavsar
• Kinjal Thakar

As of recent studies, information is developing quickly in each area, for example, news, social media, banking, education and many more. Because of the excessive amount of information, there is a need of programmed algorithm which will be skilled to summarize the information particularly text based information from unique record without losing any basic purposes and meanings. “Keywords” in a document represents subset of words or phrases from the document for describing its meaning. Manual assignment of quality keywords is time-consuming and expensive. In this paper, we present our preliminary development including hybrid approach where keywords and summarization of document could be automatically generated using text mining techniques, since text summarization process is highly depend on keyword extraction.

Text Mining, Machine learning, Natural language processing, WordNet, Keyword Extraction, Text Summarization

"Hybrid Approach to Generate Summary by Extracting Keywords in Education Domain with Text mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.312-318, April-2019, Available :http://www.jetir.org/papers/JETIR1904848.pdf

"Hybrid Approach to Generate Summary by Extracting Keywords in Education Domain with Text mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp312-318, April-2019, Available at : http://www.jetir.org/papers/JETIR1904848.pdf