GitHub - nimicent/nltk-ngram-analysis: For a client demonstration of collecting important terms used repeatedly in natural language of workers to understanding about issues presented in operations.

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For a client demonstration of collecting important terms used repeatedly in natural language of workers to understanding about issues presented in operations.

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README.md		README.md
ngram+extraction.ipynb		ngram+extraction.ipynb
ngram+extraction.py		ngram+extraction.py

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Some work I did for a client in middle east - sanitized content. Was for understanding natural language so I used NLTK which seems to have less overhead for learning than spaCy and I had a tight deadline.

Shows NLP pipeline for accomplishing the ngram analysis to best of ability. Some bottleneck was my lack of complete knowledge in regex to help thread out the results at the time.

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For a client demonstration of collecting important terms used repeatedly in natural language of workers to understanding about issues presented in operations.

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