HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
clips
pattern
Python2012–2024
clips / pattern

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

AI & Machine LearningWeb DevelopmentData & DatabasesSystems & InfrastructureLearning & ReferenceNetworkingAutomation & Workflows
Explore on GitHubRead Hacker News discussions
5Distinct people
8Mentions
0Explicit recommenders
8.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year8 dated mentions

Observed mentions: 2012-10-14 12:48:59 UTC to 2024-09-23 06:09:00 UTC.

01232012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC312
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC202
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC211
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

8 sources
stephantul·Sep 23, 2024
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
In Show HN: A tool to analyze Hacker News sentiment on any term in seconds
languagehacker·Nov 6, 2013
TextBlob is nice, but for sentiment analysis it basically wraps Pattern (https://github.com/clips/pattern). Pattern uses a whitelist heuristic approach that's got poor precision and is no longer state of the art. Not that there's anything wrong with this code, but anyone who is looking to use sentiment analysis in their work should consider researching more up-to-date alternatives which don't necessary have Pythonic alternatives just yet.
In TextBlob – Finding Sentiments in Text
languagehacker·Aug 26, 2013
Nice work on this. It's always good to see people giving more visibility to MediaWiki's capabilities. To engineers who would like to use this library, I would give a caveat that there are way more API actions than the ones enumerated here. So if you're looking to make some contributions to a project, this one is rife with possible pull requests. In terms of article access and analysis, I'd recommend looking at Pattern (https://github.com/clips/pattern) before starting with this library. Not only do you get access to the rest of Pattern's IR/text analysis capabilities, but the approach in Pattern is written to support any site built off of MediaWiki, and not just English Wikipedia. This means not only foreign-language Wikipedia instances, but all 350k wikis on Wikia, and Project Gutenberg (which, interestingly enough, runs MW 1.13).
In Show HN: Easy to use Wikipedia API for Python

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.