Skip to content

Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark & simple text preprocessing

Notifications You must be signed in to change notification settings

jburnford/nlp-in-practice

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

69 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NLP-IN-PRACTICE

Use these NLP, Text Mining and Machine Learning code samples and tools to solve real world text data problems.

Notebooks / Source

Links in the first column take you to the subfolder/repository with the source code.

Task Related Article Source Type
Large Scale Phrase Extraction phrase2vec article python script
Word Cloud for Jupyter Notebook and Python Web Apps word_cloud article python script + notebook
Gensim Word2Vec (with dataset) word2vec article notebook
Reading files and word count with Spark spark article python script
Extracting Keywords with TF-IDF and SKLearn (with dataset) tfidf article notebook
Text Preprocessing text preprocessing article notebook

Resources

Contact

This repository is maintained by Kavita Ganesan. Please contact me directly if you have questions.

About

Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark & simple text preprocessing

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 94.6%
  • Python 5.4%