Sohom Ghosh (sohomghosh)

sohomghosh

Geek Repo

Company:Fidelity Investments | Jadavpur University

Location:Bangalore, India

Home Page:https://sohomghosh.github.io/

Twitter:@sohom1ghosh

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Sohom Ghosh's repositories

FinRAD_Financial_Readability_Assessment_Dataset

FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability

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TO-DO

My to do list

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BERT-Relation-Extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

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CEPN

Code for causality extraction.

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deep-finance

Datasets, papers and books on AI & Finance.

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ECTSum

ECTSum Dataset and Codes

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Finance-FinNum

Numeral is the crucial part of financial documents. In order to understand the detail of opinions in financial documents, we should not only analyze the text, but also need to assay the numeric information in depth. Because of the informal writing style, analyzing social media data is more challenging than analyzing news and official documents. FinNum is a dataset for fine-grained numeral understanding in financial social media data - to identify the category of a numeral.

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Finance-FinProLex

FinProLex provides 5,162 tokens in professional analysts' reports and the financial social media platform posts with expert-like scores. The expert-like scores are calculated based on the pointwise mutual information (PMI).

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Finance-NTUSD-Fin

NTUSD-Fin provides various scoring methods including frequency, CFIDF, chi-squared value, market sentiment score and word vector for the tokens. Only the tokens appeared at least ten times and shown significantly difference between expected and observed frequency with chi-squared test are remained in our dictionary. The predetermined significance level is 0.05. The market sentiment score is calculated by substracting the bearish PMI from the bullish PMI. There are 8,331 words, 112 hashtags and 115 emojis in the constructed dictionary, NTUSD-Fin.

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Finance-Numeracy-600K

Numeral is the crucial part of in narrative, especially in financial documents. We should not only analyze the text, but also need to assay the numeric information in depth. Numeracy-600K is a dataset for testing the numeracy of machines.

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FinSim_Financial_Hypernym_detection

Codes and models to extract hypernyms of Financial Terms

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LIPI_ERAI_FinNLP_EMNLP-2022

Codes of the system developed by team LIPI while participating in ERAI shared task of FinNLP, co-located with 2022

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Machine_Learning_Training

This repository contains the data of the training programs taken by Anshu Pandey

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ML-ESG3_LIPI

The codes correspond to the system developed by team LIPI while participating in the ML-ESG3 shared task of FinNLP-KDF@LREC-COLING-2024.

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sohom2ghosh.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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sohomghosh.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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tezansahu-website

The repository for my website

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tweetfinsent

TweetFinSent: A Dataset of Stock Sentiments on Twitter

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