Tools

Analysis

Concordle

Concordle is a free, web based word cloud and concordance tool built in Javascript. It describes itself as the "not so pretty cousin of Wordle" and first debuted in 2006. Users can paste text into the provided box and generate a word cloud, concordance or list of words ordered by frequecy. It also includes a field for stop words.

Rated 3.0 out of 5.

Visualization

Visualizing Literature: Virtue and Vice

Virtue and Vice, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and graph out all instances of words suggestive of virtue and vice within the text. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming. As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.

Rated 4.0 out of 5.

Visualization

R

R is an open source programing language designed for statistical analysis and parallel computing. R began its life as a research project at the University of Aukland, but has since expanded to become a collaborativly run open source project run by the GNU. R has libraries for data import, regular expression data splitting, and visualization of data. R can be run as either a script or as a working environment.

Rated 4.0 out of 5.

Search

TextGrid

TextGrid is a virtual research environment for text-based humanities scholarship. It offers a variety of tools and services for collaboratively creating, analyzing, editing and publishing texts. The TextGrid environment is split into two components, the Laboratory housing the tools and services, and the Repository for preserving reserach data and making it available to other scholars.

Rated 4.0 out of 5.

Search

Word and Phrase

Word and Phrase is a free, web-based text analysis tool created by Dr. Mark Davies of Brigham Young University. Users can paste texts directly into the box provided. The tool provides a range of detailed information on a text's words and phrases, on one screen with a single search.

Rated 4.0 out of 5.

Analysis

Voyant Document KWICs

Document KWICs shows a table of keywords in their context. In other words, it provides a list of certain keywords and their occurrence within a corpus or document.

Rated 4.0 out of 5.

Analysis

List Words - HTML (TAPoRware)

This tool lists words in an HTML document, either uploaded by the user or from a web address. List Words works with relatively small texts of under a megabyte in size. It is part of the TAPoRware collection of tools; there are XML and plain text versions available as well. This tool’s functionality has been incorporated into Voyant available online at www.voyant-tools.org.

Rated 4.0 out of 5.

Visualization

Wordle

Wordle is an online toy for generating word clouds using the text you provide. Text can be submitted by providing an URL or by pasting raw text into an input. The most frequent words from the text are then used as the source for the resulting visualization, where frequency is used to determine the size of each word. You may customize the output by choosing from a variety of display options (layout, font, colours) or use the randomize feature to get a random visualization. Additionally, there is built-in stop word support for many common languages, and the option to change the word case.

Rated 4.0 out of 5.

Visualization

LodLive

LodLive is a web-based tool developed to demonstrate Linked Data standards applied to browsing RDF resources with a simple interface. Users can search preset datasets, including DBpedia and Freebase, or search a resource available at a web address of the user's choice. LodLive is also available for download.

Rated 4.0 out of 5.

Visualization

Complex Sentiment Analysis

Code from an iPython notebook, based on: http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-3/ This notebook shows how to conduct sentiment analysis on a collection of passages (e.g. Tweets) using dictionaries of positive and negative words.

Rated 4.0 out of 5.