https://github.com/snehawk20/sentiment_analysis
Sentiment analysis on feedback from Customer Feedback Team and a summarization of negative feedback for every support role
https://github.com/snehawk20/sentiment_analysis
bart data-augmentation lstm
Last synced: about 1 year ago
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Sentiment analysis on feedback from Customer Feedback Team and a summarization of negative feedback for every support role
- Host: GitHub
- URL: https://github.com/snehawk20/sentiment_analysis
- Owner: snehawk20
- License: mit
- Created: 2023-02-19T00:40:26.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-19T01:30:21.000Z (over 3 years ago)
- Last Synced: 2025-02-05T08:51:25.599Z (over 1 year ago)
- Topics: bart, data-augmentation, lstm
- Language: Jupyter Notebook
- Homepage:
- Size: 148 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Sentiment Analysis and Text Summarization
This solution was submitted to round 2 of Convolve, an ML/AI hackathon jointly organized by 6 IITs.
The problem statement is about analysing the feedback from Cisco's Customer Support Team. Feedback is available for different job roles and we had to predict if each fedback is a positive or negative sentiment, followed by summarising the negative feedback for every job role.
``data`` contains the training data
``test`` contains the test data
``convolve_epoch_2.ipynb`` is the notebook cn be run on `Python3`
### Solution
* Sentiment Analysis using LSTMs
* Text Summarization using BART