nlp-in-practice
by kavgan (personal account)
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. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,188
- Forks
- 780
- Open issues and pull requests
- 4
- Primary language
- Jupyter Notebook
- License
- No license file detected
- Owner
- kavgan · Personal account
- Created
- Jan 28, 2018
- Last push
- Dec 2, 2020
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 4,209: explosion/sense2vec
🦆 Contextually-keyed word vectors
1,681 starsPythonMITLast push Mar 27, 2026
Rank 4,226: plasticityai/magnitude
A fast, efficient universal vector embedding utility package.
1,674 starsPythonMITLast push Aug 3, 2023
Rank 3,224: JasonKessler/scattertext
Beautiful visualizations of how language differs among document types.
2,344 starsPythonApache-2.0Last push Jul 4, 2026
Rank 6,566: The-FinAI/PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holisti…
894 starsJupyter NotebookMITLast push Oct 8, 2026
Rank 6,065: nlptown/nlp-notebooks
A collection of notebooks for Natural Language Processing from NLP Town
1,014 starsJupyter NotebookNo license file detectedLast push Jul 16, 2024