S
Sukomal Pal
Researcher at Indian Institute of Technology (BHU) Varanasi
Publications - 75
Citations - 694
Sukomal Pal is an academic researcher from Indian Institute of Technology (BHU) Varanasi. The author has contributed to research in topics: Computer science & Automatic summarization. The author has an hindex of 11, co-authored 61 publications receiving 379 citations. Previous affiliations of Sukomal Pal include Indian Institutes of Technology & Indian Institute of Information Technology, Allahabad.
Papers
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Text summarization from legal documents: a survey
TL;DR: This paper discusses different datasets and metrics used in summarization and compare performances of different approaches, first in general and then focused to legal text, and briefly covers a few software tools used in legal text summarization.
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Recent developments in social spam detection and combating techniques
TL;DR: The article surveys recent developments on social spam detection and mitigation, its theoretical models and applications along with their qualitative comparison, and presents the state-of-the-art and attempt to provide challenges to be addressed, as the nature and content of spam are bound to get more complicated.
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Use of social media in crisis management: A survey
Anita Saroj,Sukomal Pal +1 more
TL;DR: In this article, the authors analyzed the relationship between emergencies and online social media, especially Twitter, Facebook, and Youtube, and tried to see the effect of occurrence of emergencies on social media and how that deluge of data can be effectively extracted and processed to create situational awareness and minimize the damage due to the disaster.
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A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity
Tribikram Pradhan,Sukomal Pal +1 more
TL;DR: This work provides an integrated framework incorporating social network analysis, including centrality measure calculation, citation and co-citation analysis, topic modeling based contextual similarity, and key-route identification based main path analysis of a bibliographic citation network.
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A Comparative Analysis on Hindi and English Extractive Text Summarization
TL;DR: This article presents a detailed comparative study of various extractive methods for automatic text summarization on Hindi and English text datasets of news articles using 13 different summarization techniques, namely, TextRank, LexRank, Luhn, LSA, Edmundson, ChunkRank, TGraph, UniRank, Nn-ED, NN- SE, FE-SE, SummaRuNNer and MMR-SE.