Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Scattertext | 2,131 | 8 | 2 | 8 months ago | 148 | April 18, 2023 | 22 | apache-2.0 | Python | |
Beautiful visualizations of how language differs among document types. | ||||||||||
Mexican Government Report | 444 | 4 years ago | mit | Python | ||||||
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results. | ||||||||||
Subreddit Analyzer | 422 | 4 years ago | mit | Python | ||||||
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit. | ||||||||||
Ml_things | 157 | 2 years ago | 1 | February 05, 2022 | 3 | apache-2.0 | Jupyter Notebook | |||
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets. | ||||||||||
Soan | 58 | 4 years ago | 2 | mit | Python | |||||
Social Analysis based on Whatsapp data | ||||||||||
How To Mine Newsfeed Data And Extract Interactive Insights In Python | 52 | 6 years ago | HTML | |||||||
A practical guide to topic mining and interactive visualizations | ||||||||||
Senet For Weakly Supervised Relation Extraction | 35 | 5 years ago | 2 | Python | ||||||
Quran Nlp | 32 | 2 years ago | 3 | gpl-3.0 | Python | |||||
quran-nlp is an opensource project | ||||||||||
Language Style Transfer | 15 | 3 years ago | 3 | Jupyter Notebook | ||||||
Reimplementation of NLP Style Transfer from Non-parallel Text with Adversarial Alignment (https://arxiv.org/abs/1705.09655) | ||||||||||
Twitternewsanalyserbot | 11 | 4 years ago | 4 | mit | Python | |||||
Creation of a Twitter Bot which analyses and compares the similar kind of news and plots the polarity and subjectivity of the news channel on trending topic. A sample plot is shown at the end of the file. So the next update or task would be adding new news channels and comparing their similar news. |