thomsonreuters / TR-DataChallenge1Links
Thomson Reuters is challenging you today to leverage machine learning and natural language processing to build an algorithm that can automatically classify news into different categories. If you are as obsessed as we are with deep learning, you are encouraged to create a headline summarizer which helps you earn extra points.
☆20Updated 7 years ago
Alternatives and similar repositories for TR-DataChallenge1
Users that are interested in TR-DataChallenge1 are comparing it to the libraries listed below
Sorting:
- NLP papers applicable to financial markets☆135Updated 4 years ago
- Similarity search on Wikipedia using gensim in Python.☆60Updated 6 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆52Updated 8 months ago
- Build a deep learning model for predicting the named entities from text.☆56Updated 6 years ago
- ☆37Updated 7 years ago
- BERT for Finance : UC Berkeley MIDS w266 Final Project☆203Updated 5 years ago
- Reuters and Bloomberg☆252Updated 2 years ago
- classify a job description (or noisy job title) into a ONET job title☆19Updated 8 years ago
- Quantlets of textmining projects☆12Updated 7 months ago
- A practical guide to topic mining and interactive visualizations☆74Updated 7 years ago
- Topic modelling on financial news with Natural Language Processing☆59Updated 8 years ago
- Subjectivity and sentiment classification using polarity lexicons☆90Updated 3 years ago
- A traits predictor using Python☆14Updated 7 years ago
- Deep Learning for Language Workshop prepared for the AI For Social Good Summer Lab, 2018☆23Updated 2 years ago
- NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values …☆15Updated 7 years ago
- ☆35Updated 6 years ago
- Provide a comprehensive list of tokenizers, features, and general NLP things used for text analysis with examples. The initial focus is o…☆46Updated 9 years ago
- Data from EDGAR filling was extracted and text analysis was performed.☆38Updated 7 years ago
- ☆38Updated 8 years ago
- A repository for some of the code I used in kaggle data science & machine learning tasks.☆127Updated 3 years ago
- A repository to house model building experiments and tools that are part of the Conversation AI effort.☆142Updated 2 months ago
- code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"☆15Updated 9 years ago
- Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA☆34Updated 5 years ago
- Quill's library of open source NLP algorithms and data sets.☆52Updated last year
- ☆16Updated 7 years ago
- A Python script to retrieve plain text transcripts from YouTube videos☆27Updated 8 years ago
- ☆99Updated 5 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Relatively simple text classification powered by spaCy☆41Updated 9 years ago
- Python module(s) to get stock data, options data and news.☆80Updated 6 years ago