Pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. (by clips)
TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. (by sloria)
| Pattern | TextBlob | |
|---|---|---|
| 3 | 4 | |
| 8,786 | 9,285 | |
| 0.3% | 0.7% | |
| 0.0 | 7.6 | |
| 10 months ago | 6 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" 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.
Pattern
Posts with mentions or reviews of Pattern.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-09-22.
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Show HN: A tool to analyze Hacker News sentiment on any term in seconds
There’s some old work [1] that conceptualized sentiment as an interplay between subjectivity and sentiment. The more subjective a statement, the more “range” sentiment gets. I think this is what you are getting at.
I don’t think it ever gained traction, probably because people aren’t interested in creating an actual theory of sentiment that matches the real world.
[1]: https://github.com/clips/pattern/wiki/pattern-en#sentiment
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Discussion Thread
if you're curious about the nitty gritty, the parsing module's documentation is well written and doesn't require a comp sci or linguistics degree to get the gist of what's happening.
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What would an interesting and applicable PhD topic?
Spacy. If you have time, explore nltk (the NLTK book is actually a really good place to start). I'm kind of fond of the https://github.com/clips/pattern -- it doesn't get the appreciation it deserves
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.
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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 Pattern and TextBlob you can also consider the following projects:
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
NLTK - NLTK Source
quepy - A python framework to transform natural language questions to queries in a database query language.
polyglot - Multilingual text (NLP) processing toolkit