RapidMiner is an open source data mining tool with a GUI interface, available in both a free, unsupported 'community version' and a for-pay, fully supported 'enterprise edition'. It utilizes a standardized XML interchange format for processing, and is compatible with common relational databases and spreadsheet applications.

Muse is a free, open source JavaScript tool for reflecting on and searching for patterns in the past by examining one's personal e-mail archive. It analyses e-mail to generate several views including a sentiment graph from messages that may reflect particular emotions or feelings, inferred groups based on communications with various contacts, a calendar view, or an an attachment wall of all documents attached to e-mails.

Diction is a text analysis program for purchase, designed to determine the tone of a text, and generate reports and statistical analysis from it. DICTION versions are available for Windows® on a PC and Mac®.

Trend Miner is a tool designed to enable portable open-source real-time methods for cross-lingual mining and summarizing of large-scale stream media. It combines elements from natural language processing, knowledge-based reasoning, machine learning, economics and political science. It is designed to access and interpret data from sources such as blogs, Facebook and Twitter.

Transana is a free, open source program offered by the University of Wisconsin-Madison Center for Education Research for transcribing and analyzing large collections of video and audio data aimed at academic researchers. It enables users to manually transcribe in a variety of levels of detail, identify and access analytically significant sections of their data, manage collections, organize video clips into categories, apply keywords to sections or clips, generate graphical or textual reports, data mine and share markup.

Quadrigram is an environment for data gathering, query and visualization, based on a visual programming language and intended for users with no experience programming or creating visualizations. At present, it contains 50 different visualizers.

Weka (Waikato Environment for Knowledge Analysis) is a free Java-based data mining workbench of machine learning algorithms, offered by the Machine Learning Group of the University of Waikato. It includes tools for data pre-processing, classification, clustering and visualization, among others. Development on Weka began in the early 1990s and it is extensively documented.

WebClust is a meta search engine that clusters documents into meaningful groups. WebClust presents search results in a horizontal topical arrangement, in addition to a single vertical list. WebClust's data mining technique is meant to make sense of large amounts of textual information extracted from the web, including digital libraries.

Weka provides machine learning algorithms in Java for data mining and predictive modeling tasks. These algorithms can either be incorporated into other Java code or called from the Weka Workbench, a GUI environment.

After creating a free account, users can submit requests for mining and analyzing JSTOR content. By submitting a query, a user will receive a random sample of 1,000 of JSTOR's 4.6 million documents; more documents can be received by contacting JSTOR directly. Users can choose to receive the following results:

Citations Only (all requests come with citations by default)

Word Counts

Bigrams

Trigrams

Quadgrams

Key Terms

References