DiscoverText is a cloud-based textual analytics tool available for purchase. It is designed to collect data from sources such as social media, blogs and a variety of document formats, and generate tag clouds and reports from the resulting corpus.

WordStat is a commercial software package for content analysis and text mining on natural language text such as interview transcripts. It also includes features for automatic document tagging and classification.

HyperPo is an important legacy tool, developed as the first web-based text analysis tool aimed at humanities scholars available from 1996 through 2006. Users could input a web address, upload a file or directly enter text for analysis. HyperPo's interface was available in both English and French. Though no longer available for use, a capture of HyperPo can be viewed through the Internet Archive's Wayback Machine.

Textable is a an add-on tool developed for the Orange data mining and visualization package. Its functions include the ability to build data tables from textual data, to import data from other sources, and to build concordances and collocations. It also enables users to segment and annotate text, systematically recode data, determine subsets, and compute frequency and complexity measures.

KH Coder is a tool for quantitative content analysis and text mining that has been under continuous development since 2001. It was originally developed for Japanese text and now supports numerous other languages, including English, Italian and French. KH Coder also has computational linguistics applications.

Paper Machines is a topic modelling and visualization tool available as a plugin for Zotero. It analyzes Zotero bibliographic collections based on a selection of text mining processes, and enables users to export a variety of visualizations, such as word clouds, phrase nets or heat maps, from the results.

Umigon is a tool used for the sentiment analysis of texts. It is one of the tools of the Nocode app which is a suite of text analysis tools. Results can be exported in Excel or CSV format for further analysis.

It was formerly a stand alone web-based and open-source tool for the sentiment analysis of tweets. From a person's Twitter handle, Umigon retrieved that account's tweets and processed them for sentiment while accounting for factual statements (ex: "I hate war" will be classified has negative, and "war in Syria" will be classified as neutral). Tweets could also be pasted manually in the entry box provided. Beyond sentiment analysis, Umigon could identify characteristics such as whether the tweet contains a question, whether it contains possible promotional/commercial subject matter, or temporal indicators based on tense.

The developer of this application can be reached on Twitter.

WordStat is a text analysis module for QDA Miner or SimStat. WordStat combines content analysis method by using dictionary approach and many algorithms exploration or various text mining methods. WordStat can apply existing categorization dictionaries to a new text corpus. It also may be used in the development and validation of new categorization dictionaries. When used in conjunction with manual coding, this module can provide assistance for a more systematic application of coding rules, help uncover differences in word usage between subgroups of individuals and assist in the revision of existing coding using KWIC (Keyword In Context) tables. WordStat is specifically designed to study textual information such as responses to open-ended questions, interviews, titles, journal articles, public speeches, electronic communications, etc.

For more information, visit: http://provalisresearch.com/products/content-analysis-software/

MONK is a digital environment designed to help humanities scholars discover and analyze patterns in the texts they study.

Superfastmatch is designed to find exact duplicates of text strings between documents.