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Personalized conversational bot for Amazon Alexa (UCSC Slugbot)

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Personality and Stylistic Scoring of Retrieved Utterances

This is a project for personalizing the utterances of a conversational agent (SlugBot for UCSC).

Prerequisites

For now, you need just NLTK to run the above codes. Please use Python 3.5+.

How to run the above codes?

Clone the repository to your machine.

The file clean.py is for cleaning the original dataset provided. The results from the code are stored in each character file named Chandler_all.txt, Ross_all.txt etc. You can run it by,

py clean.py

The other files available now for feature extraction are extract_pos_bigrams.py (for extracting POS bigrams)

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Personalized conversational bot for Amazon Alexa (UCSC Slugbot)

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  • Python 92.9%
  • Jupyter Notebook 7.1%