Home > Academics > Academic Units > Departments > Computer Science and Engineering > Pawan Goyal
Ph.D.
Assistant Professor
Computer Science and Engineering
My research focuses mainly on text mining for information extraction from the Web, Social Media and scholarly articles. Some of the research problems that I am tackling include extracting diverse opinions from online news and user generated content, summarizing tweets in disaster scenario for situational updates, novel word sense detection using content analysis, spam detection in video metadata using user comments, wikification of scientific articles etc. I am also working on computational models for prediction as well as recommendation, e.g., future citation recommendation, tag recommendation in community question answering etc. I am also actively working in the field of Sanskrit Computational Linguistics.
The role of citation context in predicting long-term citation profiles: an experimental study based on a massive bibliographic text dataset by Singh, Mayank, Patidar, Vikas, Kumar, Suhansanu, Chakraborty, Tanmoy, Mukherjee, Animesh and Goyal, Pawan 24th ACM Conference on Information and Knowledge Management (CIKM) - (2015)
Extracting Situational Information from Microblogs during Disaster Events: A Classification-Summarization Approach by Rudra, Koustav, Ghosh, Shubham, Ganguly, Niloy, Goyal, Pawan and Ghosh, Saptarshi 24th ACM Conference on Information and Knowledge Management (CIKM) - (2015)
On the formation of circles in co-authorship networks by Chakraborty, Tanmoy, Patranabis, Sikhar, Goyal, Pawan and Mukherjee, Animesh 21st ACM SIGKDD - (2015)
Thats sick dude!: Automatic identification of word sense change across different timescales by Mitra, Sunny, Mitra, Ritwik, Riedl, Martin, Biemann, Chris, Mukherjee, Animesh and Goyal, Pawan 52nd Annual Meeting of the Association for Computational Linguistics (ACL) 1020-1029 (2014)
On the categorization of scientific citation profiles in computer sciences by Chakraborty, Tanmoy, Kumar, Suhansanu, Goyal, Pawan, Ganguly, Niloy and Mukherjee, Animesh Communications of the ACM Vol. 58, No. 9 82-90 (2015)
A Context based Word Indexing Model for Document Summarization by Goyal, Pawan, Behera, Laxmidhar and McGinnity, TM IEEE Transactions on Knowledge and Data Engineering Vol. 25 No. 8 1693-1705 (2013)
Query Representation through Lexical Association for Information Retrieval by Goyal, Pawan, Behera, Laxmidhar and McGinnity, TM IEEE Transactions on Knowledge and Data Engineering Vol. 24 No. 12 2260-2273 (2012)
Towards a Stratified Learning Approach to Predict Future Citation Counts by Chakraborty, Tanmoy, Kumar, Suhansanu, Goyal, Pawan, Ganguly, Niloy and Mukherjee, Animesh ACM/IEEE Joint Conference on Digital Libraries (JCDL) 351 - 360 (2014)
An automatic approach to identify word sense changes in text media across timescales by Mitra, Sunny, Mitra, Ritwik, Maity, Suman Kalyan, Riedl, Martin, Biemann, Chris, Goyal, Pawan and Mukherjee, Animesh JNLE special issue on Graph Methods for NLP Cambridge University Press - (2014)
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks by Singh M., Sarkar R. , Goyal P. , Mukherjee A. , Chakrabarti S. KDD - (2017)
Multiuser De-interleaving of Time Ordered Sensor Data in Smart Home Samsung R and D Institute India-Bangalore Private Limited
Unrestricted Grant for Research in Fashion E-Commerce: Existing Fashion Trends Via Mining news and Social Media Text Myntra Designs Pvt. Ltd.
Teaching Learing Centre for Internet-of-things MHRD, Department of Higher Education, NMEICT, New Delhi
Aspect Based Opinion Extraction for Automated Product Comparison Science and Engineering Research Board (SERB)
Unrestricted Grant for Research in Review Mining Flipkart Internet Private Ltd.
IndicView: Because language is no more a barrier GOOGLE INDIA PRIVATE LIMTED
Centre of Excellence in Artificial Intelligence Capillary Technologies
Cognitive Stimuli : Detecting and Generating Exaggeration in Online and Social Media Content Adobe Systems Inc
Behavior Modeling in Multi-sensor Environments - Integrating Environment Sensing, Human Sensing & Social Sensing for Rich Insights Tata Consultancy Services Limited (TCS Ltd)
Automated fashion design using Generative Adversial Networks Myntra Designs Pvt. Ltd.
Large-scale Text Analytics to Identity Temporal and Medis-specific Scopes of Words Department of Science and Technology(DST)
A Platform for Crosslingual and Multilingual Event Monitoring in Indian Languages Department of Electronics and Information Technology
Effective Drug Repurposing Through Literature & Patent Mining, Data Integration & Development of Systems Pharmacology Platform Department of Electronics and Information Technology
Unrestricted Travel Grant Various Institutes/Organisations
Google Unrestricted Fund for Social Computing GOOGLE INDIA PRIVATE LIMTED
Unrestricted grant for research in social networks and user-generated content Dr. M Chelliah, Head, Academic Relations, Yahoo India R & D
A deep validation study of Indian Language system based on patterns of a) comparative Philology, Phonology & Phonetics & b) Psycho-Physics of Varnamala MHRD
To develop a scientific rationale of IELS (Indo-European Langauge Systems) applying a) Computational Linguistics & b) Cognitive Geo-spatial mapping approaches MHRD
Mayank Singh
Area of Research: Data Mining, Natural Language Processing, Machine Learning
Krishnendu Ghosh
Area of Research: Artificial Intelligence in Education
Abhik Jana
Area of Research: Word Sense Disambiguation and Discovery
Amrith Krishna
Area of Research: Sanskrit Computational Linguistics
Mayank Bhasin
Area of Research: Spatio-temporal structure of concept representation
Binny Mathew
Area of Research: Language dynamics in text and social media
Harshit
Area of Research: Visual concept representation
Kalyani Roy
Area of Research: Text Mining
Rajdeep Mukherjee
Area of Research: Web Mining
Bishal Santra
Area of Research: Dialogue System, Text Mining
Ishani Mondal
Area of Research: Text Mining
Sinchani Chakraborty
Area of Research: Text Mining
Debanjana Kar
Area of Research: Natural Language Processing
Sayantan Basu
Area of Research: Natural language processing
