Carlossn / Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction
Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts
☆15Updated 6 years ago
Alternatives and similar repositories for Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction:
Users that are interested in Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction are comparing it to the libraries listed below
- Decision support from financial disclosures with deep neural networks and transfer learning☆39Updated 7 years ago
- ☆18Updated 3 years ago
- ☆17Updated 4 years ago
- NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values …☆15Updated 6 years ago
- ☆18Updated 5 years ago
- Fast, flexible name matching for large datasets☆71Updated last year
- ☆18Updated 5 years ago
- Textual analysis of FOMC Transcripts. My research examines the relationship between words said during FOMC meetings, and changes in Feder…☆27Updated 7 years ago
- Classification of reserve risk with chain-ladder☆10Updated 5 years ago
- Stock Market Lexicon☆40Updated 8 years ago
- Bayesian nonparametric models for python☆18Updated 6 years ago
- ☆33Updated 3 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆23Updated 6 years ago
- Clinical NLP Analysis with Elasticsearch and Kibana☆35Updated 6 years ago
- An end-to-end event extraction and summarization system.☆21Updated 4 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆51Updated 3 months ago
- Material for a Python for Finance workshop at the University of Melbourne in 2018☆16Updated 7 years ago
- Model for learning document embeddings along with their uncertainties☆35Updated last year
- Earnings-Call-Dataset / MAEC-A-Multimodal-Aligned-Earnings-Conference-Call-Dataset-for-Financial-Risk-PredictionRepository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction☆86Updated last year
- NLP: An Application for Public Policy, PyCon Ireland 2018☆26Updated 2 years ago
- Leveraging BERT and c-TF-IDF to create easily interpretable topics.☆21Updated 4 years ago
- Market Empirical Analysis Toolbox for Python☆24Updated last year
- Statistical inference on machine learning or general non-parametric models☆44Updated 11 months ago
- Using NLP techniques for sentiment analysis and topic modeling of quarterly earnings calls☆13Updated 8 years ago
- Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Fed…☆18Updated 5 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated last year
- Python library for interacting with EDGAR.☆41Updated 2 months ago
- R code to copy select 10-X report files to your main Google Drive folder for text / sentiment analysis. CC-BY-4.0 License☆14Updated 6 years ago
- ☆14Updated 2 years ago
- ☆16Updated 10 months ago