Web mining, Visualization

Pattern 

Pattern is a web mining module for the Python programming language.

It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics), clustering and classification (k-means, k-NN, SVM), and data visualization (graph networks).

The module is bundled with 30+ example scripts and 350+ unit tests.

Goto: http://www.clips.ua.ac.be/pages/pattern

Orange

 

Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics.

Classify

Naive Bayesian Learner	SVM Learner	Logistic Regression Learner
Majority Learner	Classification Tree Learner	Classification Tree Graph
Classification Tree Viewer	CN2 Rule Learner	Rule Viewer
k-Nearest Neighbours Learner	Nomogram	Random Forest
C4.5 Learner	Interactive Tree Builder

Goto: http://orange.biolab.si/

Install 

Orange is based on qt.

# sudo pip install Orange

# sudo pip install pattern