edgetrader / esg-nlpLinks
Analysing ESG report using Natural Language Processing
☆60Updated 4 years ago
Alternatives and similar repositories for esg-nlp
Users that are interested in esg-nlp are comparing it to the libraries listed below
Sorting:
- This repository includes a tool to extract companies' ESG ratings & financial metrics and load them on SQL☆50Updated last year
- ☆100Updated last year
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆78Updated 4 years ago
- Domain Specific BERT Model for Text Mining in Sustainable Investing☆142Updated 3 months ago
- Please refer to attached full report. Introduction ESG is abbreviate of the environment, social responsibility, and corporate governanc…☆20Updated 7 years ago
- ESG-investment AI☆31Updated last year
- A Python package that uses Selenium to scrape content from the MSCI.com ESG Ratings Corporate Search Tool.☆27Updated 3 years ago
- Putting the Data in ESG☆32Updated 4 years ago
- Sentiment Analysis by Machine Learning, LSTM and BERT☆68Updated 2 years ago
- This repository contains code and data for a machine learning model that predicts ESG (Environmental, Social, and Governance) scores base…☆40Updated 2 years ago
- Stock selection and portfolio performance based on ESG Scores☆14Updated 4 years ago
- Gold Price Prediction using CNN-LSTM and CNN-GRU model: We have built univariate and multivariate CNN-LSTM, CNN-GRU and many variants of …☆15Updated 3 years ago
- Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI…☆85Updated last year
- Practical, hands-on risk modeling, risk assessment and verifications of risk models across major risk classes and understanding risk regu…☆16Updated 3 years ago
- Astock☆235Updated 2 years ago
- CNN-LSTM stock prediction algorithm project☆17Updated 4 years ago
- Code I built from scratch to scrape Seeking Alpha earnings call transcripts, organized the data in data frames, and stored the final data…☆31Updated 4 years ago
- Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls tr…☆15Updated 4 years ago
- Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationsh…☆48Updated 3 years ago
- ☆39Updated 5 years ago
- RFS2020年论文Emperical asset pricing via machine learning复现☆29Updated 3 years ago
- DCC GARCH modeling in Python☆97Updated 5 years ago
- A 10-K FInancial Report is a comprehensive report which must be filed annually by all publicly traded companies about its financial perfo…☆48Updated 5 years ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆16Updated 2 years ago
- Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natu…☆50Updated 7 months ago
- An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter no…☆15Updated 4 years ago
- Explore TESLA stock price (time-series) using ARIMA & GARCH model.☆19Updated 4 years ago
- 基于Python的金融分析与风险管理(第二版) 代码☆26Updated 2 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 4 years ago
- ☆83Updated 2 years ago