Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ghosh, Sohom"'
With consistent growth in Indian Economy, Initial Public Offerings (IPOs) have become a popular avenue for investment. With the modern technology simplifying investments, more investors are interested in making data driven decisions while subscribing
Externí odkaz:
http://arxiv.org/abs/2412.16174
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 if a given social media post will receive more reaction than another,
Externí odkaz:
http://arxiv.org/abs/2403.09702
Publikováno v:
Springer Nature Computer Science, August 2023
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 performing financial activities. This has led to the generation of a hug
Externí odkaz:
http://arxiv.org/abs/2303.13475
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 influenced by what people talk about. Social media like Twitter, Reddit have be
Externí odkaz:
http://arxiv.org/abs/2211.01287
Autor:
Ghosh, Sohom, Naskar, Sudip Kumar
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 does it automatically. It extracts context embeddings of the numerals
Externí odkaz:
http://arxiv.org/abs/2202.00631
In this era of abundant digital information, customer satisfaction has become one of the prominent factors in the success of any business. Customers want a one-click solution for almost everything. They tend to get unsatisfied if they have to call ab
Externí odkaz:
http://arxiv.org/abs/2110.09094
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 get their questions answered by low-touch channels like search and vir
Externí odkaz:
http://arxiv.org/abs/2109.02935
Autor:
Chopra, Ankush, Ghosh, Sohom
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 these systems to participate in the FinSim-3, a shared task of FinNLP w
Externí odkaz:
http://arxiv.org/abs/2107.13764
Autor:
Ghosh, Sohom
In this era of digitisation, news reader tend to read news online. This is because, online media instantly provides access to a wide variety of content. Thus, people don't have to wait for tomorrow's newspaper to know what's happening today. Along wi
Externí odkaz:
http://arxiv.org/abs/2106.07348