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 3 years ago)

Stargazers 1,132 (1 this week)

Watchers 51 (0 this week)

Forks 783

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these kavgan/nlp-in-practice is ranked #43,132 (92nd percentile) for total stargazers, and #40,008 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #858/14,929.

kavgan/nlp-in-practice is also tagged with popular topics, for these it's ranked: machine-learning (#1,148/7371), nlp (#307/2260), natural-language-processing (#211/1319), text-classification (#36/262), text-mining (#12/112)

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: 2024-06-28 @ 03:07am, id: 119236988 / R_kgDOBxtpfA