rake-nltk
Answerable
rake-nltk | Answerable | |
---|---|---|
4 | 1 | |
1,034 | 15 | |
- | - | |
0.0 | 1.8 | |
over 1 year ago | almost 3 years ago | |
Python | Python | |
MIT License | MIT License |
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rake-nltk
- rake-nltk 1.0.6 released. Comes with the flexibility to choose your own sentence and word tokenizers.
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PMI for WordClouds
I'm not sure what you mean by tokenizing phrases or concepts. Specifically extracting institution names would fall under NER. You can do this with spaCy. Extracting commonly used phrases would fall under keyword extraction. For this, you can study frequencies of n-grams of length > 1 and optionally filter based on POS (i.e. NOUN+ADJ). I've never used RAKE (https://github.com/csurfer/rake-nltk) but I've heard this is also a popular method.
Answerable
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I made a recommendation system for Stack Overflow unanswered questions
git clone https://github.com/MiguelMJ/Answerable.git
What are some alternatives?
yake - Single-document unsupervised keyword extraction
debuggy - A python tool for automatically catching compiler runtime errors, parsing errors through popular discussion forums (eg. stackoverflow) and getting solutions on the terminal
pke - Python Keyphrase Extraction module
recomovi - Content Based Movie Recommendation & IMDb Dataset Generator.
NLTK - NLTK Source
horapy - 🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.
recommenders - Best Practices on Recommendation Systems
hepscrape - arXiv:hep-ph scraper
black - The uncompromising Python code formatter