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Raksha Sharma
Raksha Sharma Assistant Professor raksha.sharma@cs.iitr.ac.in 91-1332-285661
Areas of Interest
  • Natural Language Processing, Applicaiton of Machine Learning, Artificial Intelligence, Sentiment Analysis, Information Extraction, Mahcine Translation, Summarization, Caption Recognition
Professional Background
FromToDesignationOrganisation
20172019Research ScientistTata Research Design and Development Center
2019till dateAssistant ProfessorIIT Roorkee
20092011LecturerJaypee University of Engineering and Technology Guna
Honors and Awards
AwardInstituteYear
Merit Certificate (4th Rank)Maharana Pratap College of Technology2006
10th Inter-Research-Institute Student Seminar in Computer ScienceIIT Bombay2016
Educational Details
DegreeSubjectUniversityYear
PhDNatural Language ProcessingIndian Institute of Technology Bombay2017
M.TechComputer ScieneIndian Institute of Information Technology Gwalior2009
B.Tech.Information TechnologyRajiv Gandhi Proudyogiki Vishwavidyalaya2006
Administrative Background
FromToDesignationOrganisationLevel
2019till dateOC B.Tech ProjectIIT Roorkee
Memberships
  • NAACL 2019, Program Committee Member and Reviewer
  • International Conference On Natural Lanuage Processing 2019, Reviewer
  • Association for Computational Linguistics 2020, Reviewer
  • ECNLP2019: Workshop on e-Commerce and NLP, Program Committee Member
  • ICON 2017, Reviewer
  • ECNLP2019: Workshop on e-Commerce and NLP, Program Committee Member
Teaching Engagements
TitleCourse CodeClass NameSemester
Logics and Automated ReasoningCSN518Mtech 1st and BTech 4th YearSpring
Artificial IntelligenceCSN 371B.Tech 4th CS and B.Tech. 4th ECAutumn
Machine LearningCSN-526PhD, B.Tech 3rd CSE and MTech 1st CSESpring
Projects and Thesis Supervised
Title of ProjectNames of Students
SummarizationTulesh Jaiswal
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Year
NLPSoumya N MishraO2019
Visits to outside institutions
Institute VisitedPurpose of VisitDate
IIT DelhiTechnical Talk26-02-2018
Invitations
TopicOrganistaionCategoryYear
Exploitation of Word Properties for Sentiment Analysis11th Inter-Research-Institute Student Seminar in Computer Science co-located with ACM India Annual ET2017
Faculty Development Program on Machine Learning and Data Analytics using Python. ( https://eict.iitr.ac.in/mldaiitr.html) .EICT IITRG2019
Faculty Development Program on Machine Learning and Network Security.IIT RoorkeeG2020
Sentiment AnalysisACM IKDD CoDS 2016T2016
Sentiment bearing word embeddings for sentiment analysis.Amazon India Artificial Intelligence Summit, held in Bangalore, India on 18th September 2017I 2017
Words and Sentiment AnalysisGoogle NLP Summit, 25 - 27 September 2017 in Zurich, SwitzerlandI2017
Special Lectures Delivered
TitlePlaceDate
Significance Test in Sentiment AnalysisIIT BHU, VARANASI16-12-2017
Biomedical Text and Natural Language ProcessingPatiala University, Punjab17-12-2019
Refereed Journal Papers
  1. R Sharma, P Bhattacharyya. Detecting Domain Dedicated Polar Words. In Proceedings of International Joint Conference on Natural Language Processing (IJCNLP) 2013. Nagoya, Japan. 

  2. R Sharma, P Bhattacharyya. A Sentiment Analyzer for Hindi Using Hindi Senti Lexicon. In Proceedings of International Conference on Natural Language Processing (ICON) 2014. Goa, India. 

  3. R Sharma, M Gupta, A Agarwal, P Bhattacharyya. Adjective Intensity and Sentiment Analysis. In Proceedings of Empirical Methods in Natural Language Processing (EMNLP) 2015. Lisbon, Portugal. 

  4. R Sharma, P Bhattacharyya. Domain Sentiment Matters: A Two Stage Sentiment Analyzer. In Proceedings of International Conference on Natural Language Processing (ICON) 2015. Trivandrum, India. 

  5. R Sharma, P Bhattacharyya. High, Medium or Low? Detecting Intensity Variation Among polar synonyms in WordNet. In Proceedings of Global WordNet Conference (GWC) 2016. Bucharest, Romania. 

  6. R Sharma, Sudha Bhingardive, P Bhattacharyya. Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis. In Proceedings of International Conference on Natural Language Processing (ICON) 2016. Varanasi, India. 

  7. R Sharma,  A somani, L Kumar, P Bhattacharyya, Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings. In Proceedings of Empirical Methods in Natural Language Processing (EMNLP) 2017. Copenhagen, Denmark. 

  8. R Sharma, D Mondal, P Bhattacharyya. A comparison among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study. Published in Springer LNCS Journal 2017, also presented in International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) 2017. Budapest, Hungary.

  9. R Sharma, P Bhattacharyya, S Dandapat, H Bhatt,  Identifying Transferable Information Across Domains Using χ2 test and Cosine-similarity for Cross-domain Sentiment Classification. 56th Annual Meeting of the Association for Computational Linguistics (ACL) 2018. Melbourne, Australia.

  10. R Sharma, G K Palshikar, S Pawar, An Unsupervised Approach for Cause Effect Relation Extraction from Biomedical Text. 23rd International Conference on Natural Language & Information Systems (NLDB) 2018, Paris, France.

  11. S Sangawan, R Sharma,  G K Palshikar, Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain. International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) 2019. La Rochelle France.

  12. S Pawar, R Sharma, GK Palshikar, P Bhattacharyya, Cause–Effect Relation Extraction from Documents in Metallurgy and Materials Science in Transactions of the Indian Institute of Metals 2019.

  13. R Sharma, P Bhattacharyya, Welcome vs. Heartily Welcome : Emotion Term Frequency Intensifies Polarity Orientation. (Under Evaluation)

Miscellaneous
  • For undergrade internships, pls apply through http://spark.iitr.ac.in/ - No direct internship position is available.