• Ms. Manju Lata Joshi
  • Assistant Professor
  • Information Retrieval, Data Mining & Knowledge,
                                                Discovery, Web Mining, Text Mining, Artificial,
                                                 Intelligence, Machine Learning, Open Source,
                                                 Technologies
  • 12 years
  • manjulata.joshi@icfia.org
Papers published in Journals
International
  1. Joshi M. L. & Goyal D. (2019, April). Sentiment Analysis of Hindi Text: A Review. Research Journey: Multidisciplinary International E-research Journal. Special issue-178. ISSN-2348-7143.
     
  2. Joshi, M. L. (2015). A Review on Semantic Graph based Text Mining.  International Research Journal of Computers & Electronics Engineering (IRJCEE), 3(1), IRJCEE: 021315-0610-MJ-2015-5-1.
     
  3. Sharan, A., & Joshi, M. L. (2010). An insight into semantic similarity aspects using WordNet. International Journal of Information and Communication Technology2(4), 331-341.
     
  4. Sharan, A., & Joshi, M. L. (2010). An algorithm for finding document concepts using semantic similarities from WordNet ontology. International Journal of Computational Vision and Robotics1(2), 147-157.

 

 


Papers published in Conference Proceedings

International
  1. Mittal, N., Sharma, D., & Joshi, M. L. (2018, December). Image Sentiment Analysis Using Deep Learning. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (pp. 684-687). IEEE.
     
  2. Joshi, M. L., Mittal, N., & Joshi, N. (2017, December). An Insight into Role of Wordnet and Language Network for Effective IR from Hindi Text Documents. Proceedings FIRE (Working Notes) 2017: 158-163, published by CEUR-WS Germany.
     
  3. Pandey, P. & Joshi, M. L.  (2014, January). Information Technology as a Social Responsibility"  In proceedings of an International Conference on Social Responsibility in Economic Perspective-A Global Issue ICSR-2014..
     
  4. Yadav, C. S., Sharan, A., & Joshi, M. L. (2014, February). Semantic graph based approach for text mining. In  Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on  (pp. 596-601). IEEE.
     
  5. Sharan, A., Imran, H., & Joshi, M. L.  (2008, July). A trainable document summarizer using Bayesian classifier approach. In Emerging Trends in Engineering and Technology, 2008. ICETET'08. First International Conference on (pp. 1206-1211). IEEE.

 

 


Book Chapters

  1. Sharan, A., Joshi, M. L., & Pandey, A. (2011). Exploiting ontology for concept based information retrieval. In Information Systems for Indian Languages (pp. 157-164). Springer, Berlin, Heidelberg.

 


EDUCATION
  • Pursuing Ph.D. in Computer Science from Banasthali Vidyapith, Banasthali
  • M.Tech. (Computer Science), Banasthali University
  • 'B' Level, DOEACC Society
  • M.Sc. (IT) from Allahabad Agriculture Institute, Deemed University.