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 | New Approach for Detecting Spammers on Twitter
using Machine Learning Framework Swarupa Kulkarni,
Pratiksha Mane, Seemab Shaikh, Pallavi Bhangare, M.A.R.Shabad U.G. Student, Department of Computer Engineering, Sinhgad
Academy of Engineering, Pune, Maharashtra, India Associate Professor, Department of Computer Engineering, Sinhgad
Academy of Engineering, Pune, Maharashtra, India
DOI:
10.15680/IJIRCCE.2021.09079 |
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| pdf/pZ46mRVW72U7IXNiNalZGIIyQNepHfDyg3naHWzv.pdf |
