TAPoR 3 Discover research tools for studying texts.

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Voyant Flowerbed (beta)

Flowerbed is a simple visualization tool for viewing up to two documents. Each document is presented as a “flowerbed”, wherein each word is a flower. The height of the flower is determined by the relative frequency of that word within the document. The petals on each flower represent features associated with the word. When two documents are present in chosen the corpus, the second is mirrored below the first. In this way it is possible to do a cursory comparison of the documents.

Voyant FeatureClusters (beta)

FeatureClusters is a visualization tool for viewing associations between words, based on commonalities in the feature sets of the words. This is illustrated using a force-directed graph, wherein each word is a node in the graph. Nodes are connected to one another if they share the same feature. Features are represented by the smaller circles (or petals) which surround each word. Moving your mouse over a word will show the feature details associated with that word. Clicking on a word will highlight its connections to other words.

University of Maryland HCI Group: FeatureLens

FeatureLens is a free tool for visualizing and exploring patterns in text collections. This tool integrates the results of text-mining algorithms, and can assist in finding frequent words or ngrams, enabling the discovery of fuzzy repetition patterns. In addition, the tool will recommend features based on particular pattern types identified in the text.

EURAC: Comparison Arcs

Comparison Arcs is a free proof of concept tool demonstrating a method for comparing the linguistic properties of multiple documents in graphical displays. Both texts may be searched in parallel for words, lemmas and parts of speech. This project is seeking partners for further development.

EURAC: Corpus Clouds

Corpus Clouds is a free Java demo of a novel interface to a corpus query engine. It aims to aid the user in exploratory search by providing visual information about frequency and distribution of search results in combination with the standard KWIC elements.

Stanford HCI Group: PaperToolkit

PaperToolkit is a free, open source toolkit for designing pen and paper applications. Applications generated with this tool are intended for printing on a paper surface that allows some digital interaction, such as the related ButterflyNet or Interactive Gigapixels Prints. Suggested applications include interactive newspapers and smart notebooks. This toolkit is currently under development; code, documentation, tutorials and demo applications are all available.

Old Bailey Data Warehousing Interface

This prototype was produced as a proof-of-concept for the Criminal Intent project.  It allows the records of the Old Bailey Online project to be searched such that the returned results can be viewed as either a timeline or a concordance of terms.  The tool allows for reasonably complex queries to be placed and a range of different formats for the returned charts to be selected.  The tool is primarily built with Python and SQLite and makes use of the Google Chart API for some output options.

TACTweb 1.0

TACTweb 1.0 is a free, historically important experimental web-based implementation of the TACT (Text Analysis Computing Tools) analysis and retrieval system, utilizing code originally written for TACT 2.0. TACTweb 1.0 is designed to make a TACT TDB database accessible to web users without requiring them to have a copy of TACT themselves. TACTweb 1.0 enables users to query TACT in its query language without having to learn the rest of the system. It is currently available for download, and is intended for install on a server.

OPCOL

OPCOL was an algorithm developed in the mid-1970s for optimizing the efficiency of text collation from a computer science perspective, created by Robert L. Cannon, Jr. of the University of South Carolina.

Text Variation Explorer (TVE)

Text Variation Explorer (TVE) is a Java tool for text visualization. TVE enables users to explore the effect of window size on a text's type-token ratio, proportion of hapax legomena and average word length; it can also cluster text fragments based on principal component analysis and has text comparison features. TVE is in beta and is presented 'as is'.