A general classifier module to allow Bayesian and other types of classifications.

A general classifier module to allow Bayesian and other types of classifications.

Pismo extracts and retrieves content-related metadata from HTML pages - you can use the resulting data in an organized way, such as a summary/first paragraph, body text, keywords, RSS feed URL, favicon, etc.

2 methods are provided for now - (1) naive bayes implementation + (2) tf-idf weights

Simple full text search implementation.

A document vector search with flexible matrix transforms. Currently supports Latent semantic analysis and Term frequency - inverse document frequency

Text classifier with HBase, Cassandra, or Mongo storage

Markov chains for all your friends~

Really basic search for MongoMapper models.

Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculate...

Chimera is an object mapper for Riak and Redis. The idea is to mix the advantages of Riak (scalability, massive data storage) with Redis (atomicity, performance, data structures). You should store the bulk of your data in Riak, and then use Redis data structures where appropriate (for example, a ...

GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. This is a ...

Bayesian and Latent Semantic Indexing classification of text.

Allows for reverse indexing selected ActiveRecord models. Handles searching and return of objects

A framework for building interactive twitterbots which generate tweets based on pseudo-Markov texts models and respond to mentions/DMs/favs/rts.

A general classifier module to allow Bayesian and other types of classifications.

Classifier module using Bayesian's theorem.

Interface for API on machinelearning.devingaffney.com

Simple POP3 and SMTP implementation in EventMachine for use in the Rubot framework

A naive bayes text classification algorithm built in C++, with a Ruby interface using Rice