janlukasschroeder/nlp-cheat-sheet-python
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
This cheat sheet helps non-developers understand and apply Natural Language Processing (NLP) techniques to real-world text. It takes raw text like news articles, customer reviews, or legal documents and helps you perform tasks such as extracting key information, summarizing content, or classifying sentiment. Anyone needing to automate text analysis for business intelligence, research, or content management will find this useful.
256 stars. No commits in the last 6 months.
Use this if you need a comprehensive, yet understandable, overview of NLP concepts, tools, and models to solve practical text-based problems.
Not ideal if you are looking for a highly specialized, in-depth technical manual for advanced NLP model development.
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Feb 11, 2023
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