d-one/NLPeasy
Easy Peasy Language Squeezy
This project helps data analysts and researchers quickly understand and visualize large collections of text data. You input raw text documents, like news articles or customer feedback, and it outputs enriched data with sentiment scores, linguistic details, and vector representations, ready for exploration. This is for anyone who needs to extract insights and patterns from unstructured text.
Available on PyPI.
Use this if you have a dataset of text documents and want to easily analyze sentiment, extract linguistic features, and visualize themes without extensive coding.
Not ideal if you need a lightweight text processing tool without dependencies on Elasticsearch or Docker, or if your primary goal is real-time processing of individual texts.
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10
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2
Language
Jupyter Notebook
License
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Category
Last pushed
Dec 15, 2025
Commits (30d)
0
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