https://github.com/nvinayvarma189/chatbot-with-dnlp
This chatbot is trained on cornell movie dialog corpus using LSTM with encoder, decoder and pre-processing parts explained.
https://github.com/nvinayvarma189/chatbot-with-dnlp
Last synced: 6 months ago
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This chatbot is trained on cornell movie dialog corpus using LSTM with encoder, decoder and pre-processing parts explained.
- Host: GitHub
- URL: https://github.com/nvinayvarma189/chatbot-with-dnlp
- Owner: nvinayvarma189
- Created: 2018-07-20T15:43:10.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-07-20T15:55:59.000Z (about 7 years ago)
- Last Synced: 2025-02-08T06:12:33.451Z (8 months ago)
- Language: Python
- Size: 1.41 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Chatbot-with-DNLP
This chatbot is trained on cornell movie dialog corpus using LSTM with encoder, decoder and pre-processing parts explained.
Used tensorflow to build the LSTM RNN. Used Numpy, Pandas, Regular Expressions to load and pre-process the data.
Took reference and Inspiration from [here](http://suriyadeepan.github.io/2016-06-28-easy-seq2seq/) (This is based on twitter dataset) and @SuperDataScience Team.
I have documneted few parts of the code and will document it completely soon.
You can ask me anything! and I'm more than happy to help.