https://github.com/aksub99/bert-sentiment

Application of `BERT` to extract the portions of a tweet that represent a particular sentiment.
https://github.com/aksub99/bert-sentiment

bert huggingface kaggle-competition pytorch question-answering

Last synced: 14 days ago
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Application of `BERT` to extract the portions of a tweet that represent a particular sentiment.

• Host: GitHub
• URL: https://github.com/aksub99/bert-sentiment
• Owner: aksub99
• License: mit
• Created: 2020-03-28T05:41:56.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-28T10:31:38.000Z (almost 5 years ago)
• Last Synced: 2024-11-01T09:28:12.377Z (2 months ago)
• Topics: bert, huggingface, kaggle-competition, pytorch, question-answering
• Language: Jupyter Notebook
• Size: 2.17 MB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Description

This repository contains a PyTorch implementation of `BERT` to extract the portion of a tweet that represents it's sentiment. The code makes use of the `huggingface` library for pretrained versions of the `BERT` model.

`sentiment-bert.ipynb` contains the implementation and results. The data and problem description can be found in the Kaggle competition `Tweet Sentiment Extraction`.

For a detailed walk-through of this code, please view my blog post at

[BERT: Using Hugging Face for Sentiment Extraction with PyTorch](https://medium.com/@akshaysubramanian99/bert-using-hugging-face-for-sentiment-extraction-with-pytorch-2477980e7976).