Pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. (by clips)
textacy
NLP, before and after spaCy (by chartbeat-labs)
| Pattern | textacy | |
|---|---|---|
| 3 | 1 | |
| 8,790 | 2,216 | |
| 0.3% | 0.0% | |
| 0.0 | 6.1 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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
textacy
Posts with mentions or reviews of textacy.
We have used some of these posts to build our list of alternatives
and similar projects.
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Spacy for keyword extraction
Have a look at textacy: https://github.com/chartbeat-labs/textacy
What are some alternatives?
When comparing Pattern and textacy you can also consider the following projects:
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
NLTK - NLTK Source
Jieba - 结巴中文分词