8 citations · 26 across the 11 of their papers we have counts for
11 papers
MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
Sohom Ghosh, Arnab Maji, Sudip Kumar Naskar
Predicting stock market prices following corporate earnings calls remains a significant challenge for investors and researchers alike, requiring innovative approaches that can proc…
BASIR: Budget-Assisted Sectoral Impact Ranking -- A Dataset for Sector Identification and Performance Prediction Using Language Models
Sohom Ghosh, Sudip Kumar Naskar
Government fiscal policies, particularly annual union budgets, exert significant influence on financial markets. However, real-time analysis of budgetary impacts on sector-specific…
Experimenting with Multi-modal Information to Predict Success of Indian IPOs
Sohom Ghosh, Arnab Maji, N Harsha Vardhan +1
With consistent growth in Indian Economy, Initial Public Offerings (IPOs) have become a popular avenue for investment. With the modern technology simplifying investments, more inve…
Generator-Guided Crowd Reaction Assessment
Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar
In the realm of social media, understanding and predicting post reach is a significant challenge. This paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate…
Learning Semantic Text Similarity to rank Hypernyms of Financial Terms
Sohom Ghosh, Ankush Chopra, Sudip Kumar Naskar
Over the years, there has been a paradigm shift in how users access financial services. With the advancement of digitalization more users have been preferring the online mode of pe…
Evaluating Impact of Social Media Posts by Executives on Stock Prices
Anubhav Sarkar, Swagata Chakraborty, Sohom Ghosh +1
Predicting stock market movements has always been of great interest to investors and an active area of research. Research has proven that popularity of products is highly influence…
FiNCAT: Financial Numeral Claim Analysis Tool
Sohom Ghosh, Sudip Kumar Naskar
While making investment decisions by reading financial documents, investors need to differentiate between in-claim and outof-claim numerals. In this paper, we present a tool which…
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain
Ankush Chopra, Prateek Nagwanshi, Sohom Ghosh
Over the years customers' expectation of getting information instantaneously has given rise to the increased usage of channels like virtual assistants. Typically, customers try to…
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
Ankush Chopra, Sohom Ghosh
Hypernym and synonym matching are one of the mainstream Natural Language Processing (NLP) tasks. In this paper, we present systems that attempt to solve this problem. We designed t…
Using Transformer based Ensemble Learning to classify Scientific Articles
Sohom Ghosh, Ankush Chopra
Many time reviewers fail to appreciate novel ideas of a researcher and provide generic feedback. Thus, proper assignment of reviewers based on their area of expertise is necessary.…
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
Ankush Chopra, Shruti Agrawal, Sohom Ghosh
Search is one of the most common platforms used to seek information. However, users mostly get overloaded with results whenever they use such a platform to resolve their queries. N…