rake-nltk
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK. (by csurfer)
TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. (by sloria)
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| rake-nltk | TextBlob | |
|---|---|---|
| 4 | 4 | |
| 1,034 | 8,937 | |
| - | - | |
| 0.0 | 6.1 | |
| over 1 year ago | 6 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rake-nltk
Posts with mentions or reviews of rake-nltk.
We have used some of these posts to build our list of alternatives
and similar projects.
- 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.
TextBlob
Posts with mentions or reviews of TextBlob.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-10.
-
Using EvaDB to build AI-enhanced apps
TextBlob is a Python toolkit for text processing. It offers some common NLP functionalities such as part-of-speech tagging and noun phrase extraction. We’ll use TextBlob in our project to perform some quick sentiment analysis on tweets.
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Which NLP Library should I use?
I think they reference the "other TextBlob" on there website and say that they use it. In case it is this what you mean: https://github.com/sloria/TextBlob
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Any way for Python to interpret words?
Check out TextBlob — Spelling correction, splitting text into words and sentences, sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more
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Sentiment Analysis of r/nfl live-streamed comments
The TextBlob: Simplified Text Processing library to perform Sentiment Analysis
What are some alternatives?
When comparing rake-nltk and TextBlob you can also consider the following projects:
yake - Single-document unsupervised keyword extraction
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
pke - Python Keyphrase Extraction module
NLTK - NLTK Source
Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
polyglot - Multilingual text (NLP) processing toolkit
WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.
Jieba - 结巴中文分词
hepscrape - arXiv:hep-ph scraper
textacy - NLP, before and after spaCy