International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


papers

Relevant Feature Discovery from Text Documents Using Text Mining

VAIBHAV KUDKE, AKASH TAPKIR, SHUBHAM SALUNKE, YUVRAJ KUNJIR, PROF. N.S. SHIRSAT

BE Students, Department of Information Technology, PVG's COET, Pune, SavitribaiPhule Pune University Pune India

Professor, Department of Information Technology, PVG's COET, Pune, SavitribaiPhule Pune University Pune India

PDF pdf/OgCGUbHeKQYmSOq57OXEWheybH38KMeAouLcztV8.pdf
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