activity
20202023
most citedAspect-based Sentiment Analysis of Scientific Reviews

48 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 2 cited

Personality Detection and Analysis using Twitter Data

Abhilash Datta, Souvic Chakraborty, Animesh Mukherjee

Personality types are important in various fields as they hold relevant information about the characteristics of a human being in an explainable format. They are often good predict…

cs.CY2022

Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction

Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

With the rising participation of the common mass in social media, it is increasingly common now for policymakers/journalists to create online polls on social media to understand th…

cs.CY2022

Decoding Demographic un-fairness from Indian Names

Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty +1

Demographic classification is essential in fairness assessment in recommender systems or in measuring unintended bias in online networks and voting systems. Important fields like e…

cs.CL2022

CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection

Souvic Chakraborty, Parag Dutta, Sumegh Roychowdhury +1

The last decade has witnessed a surge in the interaction of people through social networking platforms. While there are several positive aspects of these social platforms, the prol…

cs.DL2021

Mining the online infosphere: A survey

Sayantan Adak, Souvic Chakraborty, Paramtia Das +7

The evolution of AI-based system and applications had pervaded everyday life to make decisions that have momentous impact on individuals and society. With the staggering growth of…

cs.CL2020★ 48 cited

Aspect-based Sentiment Analysis of Scientific Reviews

Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

Scientific papers are complex and understanding the usefulness of these papers requires prior knowledge. Peer reviews are comments on a paper provided by designated experts on that…