kavgan / nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Date Created 2018-01-28 (6 years ago)

Commits 120 (last one 4 years ago)

Stargazers 1,155 (0 this week)

Watchers 51 (0 this week)

Forks 793

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RepositoryStats indexes 595,856 repositories, of these kavgan/nlp-in-practice is ranked #45,075 (92nd percentile) for total stargazers, and #40,682 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #922/17,543.

kavgan/nlp-in-practice is also tagged with popular topics, for these it's ranked: machine-learning (#1,197/8063), nlp (#321/2430), natural-language-processing (#219/1429), text-classification (#36/279), text-mining (#12/120)

Other Information

kavgan/nlp-in-practice has Github issues enabled, there are 4 open issues and 4 closed issues.

Homepage URL: http://kavita-ganesan.com/kavitas-tutorials/#.WvIizNMvyog

All Topics

nlp gensim tf-idf word2vec text-mining machine-learning text-classification natural-language-processing

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updated: 2024-12-17 @ 03:28pm, id: 119236988 / R_kgDOBxtpfA