Hoatzin is a text classifier in Ruby that uses SVM for it's classification.

The Huginn Naive Bayes agent uses some incoming Events as a training set for Naive Bayes Machine Learning. Then it classifies Events from other sources accordingly using tags. Acts as a Huginn Agent front end to the NBayes gem (https://github.com/oasic/nbayes).

Same as hunt, but excluding mongo_mapper as a dependency

Jekyll plugin to show related posts based on the content, tags, and categories. The similarity is calculated using TF-IDF(term frequency-inverted document frequency). Since tags and categories are use-defined values, those are considered with higher weights than a content while calculating.

enable mongodb's new fulltext simply and quickly on your mongoid models, including pagination.

Simple full text search for MongoMapper ODM

Bayesian and Latent Semantic Indexing classification of text.

Jekyll plugin to show related posts based on the content, tags, and categories. The similarity is calculated using TF-IDF(term frequency-inverted document frequency). Since tags and categories are use-defined values, those are considered with higher weights than a content while calculating.

Simple text processing for small data sets.

Calculate TF-IDF out of a text, resulting in a hash with term as key, frequency as value. Sorry for taking the convenient name for myself! See examples/demo_tf.rb for usage

Metapackage to install gems provided by Turbot.

Language analysis tool

Yet Another Naive Bayes Implementation