Soumya S


Faculty Profile 
Soumya S
Assistant Professor
Mob : 9447705353
email :
 Educational Qualifications

Qualification University /Institution Specialization Year 
B.Tech M.G.University Computer Science & Engineering  2002
M.Tech CUSAT Computer and Information Science 2009
Ph.D (Pursuing) CUSAT Natural Language processing
Professional Experience

Teaching 20 years
Industry Nil
 Area of Interest

  • Natural Language Processing
  •         Machine Learning
  •         Deep Learning
Details of journal / Conference papers

  1. Development of a POS tagger for Malayalam – An Experience , Advances in Recent Technologies in Communication and Computing 2009, ARTCom 2009.
  2. Automatic Text Summarization, International Conferences on Computational Intelligence and information Technology CIIT 2011.
  3. Generic Webpage Summarization using Latent Semantic Analysis – An Experience, Seventh International Conference on Semantic E-business and enterprise computing & CLUSE – 2013..
  4. Sentiment Analysis of Movie Review Tweets , International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) held on 17 – 18 March 2017.
  5. Speech to Text Conversion in Malayalam, International Journal of Latest Engineering Research and Applications (IJLERA) ISSN: 2455 -7137 Volume – 02, Issue – 07, July –2017, PP – 113 – 117.
  6. Sentiment analysis of Malayalam tweets using different deep neural network models-case study. In 2019 9th International Conference on Advances in Computing and Communication (ICACC), pp. 163-168. IEEE, 2019.
  7. Prediction of Emoji from News Headlines using Machine Learning Techniques International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.
  8. Sentiment analysis of malayalam tweets using machine learning techniques. ICT Express 6, no. 4 (2020): 300-305. E-ISSN: 2405-9595.
  9. Fine Grained Sentiment Analysis of Malayalam Tweets Using Lexicon Based and Machine Learning Based Approaches.” In 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), pp. 1-6. IEEE, 2021.
  10. Hybrid Deep Learning Approach for Sentiment Classification of Malayalam Tweets.” International Journal of Advanced Computer Science and Applications 13, no. 4 (2022). ISSN : 2158- 107X
  11. Sentiment Analysis of Malayalam Tweets—A Comparative Study of AutoML and Conventional ML Approaches. In ICT Systems and Sustainability: Proceedings of ICT4SD 2022 (pp. 675- 684). Singapore: Springer Nature Singapore.
Details of Courses Taught


1. Computational Linguistics
2. Mathematical Concepts for Computer Science
3. Advanced Data Mining

4. Natural Language Processing


1. Discrete Computational Structures
2. Formal Languages and Automata Theory
3. Computer Graphics
4. Database Management Systems
5. Algorithm Analysis and Design
6. Operating Systems
7. Computer Networks
8. Advanced Architecture and Parallel Processing

9. Data Mining and Warehousing

       10. Machine Learning