{"repo":"clips/pattern","free":true,"listed":false,"github":"https://github.com/clips/pattern","clone":"git clone https://github.com/clips/pattern.git","description":"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.","language":"Python","stars":8860,"topics":["python","machine-learning","natural-language-processing","web-mining","wordnet","sentiment-analysis","network-analysis"],"license":"BSD-3-Clause","category":"machine-learning","readme_excerpt":"WARNING: This repository is no longer maintained. This project is archived and will not receive further updates, bug fixes, or security patches. Issues and pull requests may not be reviewed. Use this software at your own risk. Pattern ======= Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron) Network Analysis: graph centrality and visualization. It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples. The source code is licensed under BSD. Example ------- This example trains a classifier on adjectives mined from Twitter using Python 3. First, tweets that contain hashtag #win or #fail are collected. For example: \"$20 tip off a sweet little old lady today #win\" . The word part-of-speech tags are then parsed, keeping only adjectives. Each tweet is transformed to a vector, a dictionary of adjective → count items, labeled WIN or FAIL . The classifier uses the vectors to learn which other tweets look more like WIN or more like FAIL . Installation ------------ Pattern supports Python 2.7 and Python 3.6. To install Pattern so that it is available in all your scripts, unzip the download and from the command line do: If you have pip, you can automatically download and in","default_branch":null,"files":null,"tree":[],"storefront":"/r/clips","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/clips/pattern/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}