NLP and nlp-tutorial

These are complements—the tutorial provides educational instruction and practical examples in Python that learners would apply using the comprehensive NLP techniques and libraries covered in the course materials.

NLP
50
Established
nlp-tutorial
43
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 136
Forks: 99
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 275
Forks: 147
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About NLP

DataForScience/NLP

Natural Language Processing For Everyone

This project helps anyone understand and work with written text from online sources like blogs or social media. It takes raw text data and helps you identify key topics, sentiments, or common words, making sense of large volumes of information. It's for data analysts, researchers, or marketers who need to derive insights from unstructured text without relying on complex, pre-built libraries.

text-analysis social-media-listening market-research content-analysis data-mining

About nlp-tutorial

bonzanini/nlp-tutorial

Tutorial: Natural Language Processing in Python

This workshop material helps anyone interested in understanding how computers can process and analyze human language. It takes text data as input and teaches you methods to extract meaning, categorize documents, or identify key information using Python. Researchers, students, developers, or hobbyists can use these tutorials to gain practical skills in Natural Language Processing.

text-analysis language-understanding data-science-education computational-linguistics

Related comparisons

NLP and hands-on-nltk-tutorial NLP and Python_Natural_Language_Processing

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