TAPoR 3 Discover research tools for studying texts.

Filters: Narrow the Selection of Tools

/ 3
Sort By
CollateX

CollateX is a free Java library for collating texts offered by Interedition, designed to be the successor to Peter Robinson's Collate. It uses a component-oriented architecture, to enable users to mix and match components according to their needs. Though its core library is Java, it also integrates a demo web application, a demo client application and Python language bindings that allow CollateX to be embedded into Python applications.

CulturalAnalytics

CulturalAnalytics, also known as Cultural Analytics for the Digital Humanities in R, is a free R package of functions for statistical analysis and plotting image properties, developed by Rob Myers specifically for the Digital Humanities, and of value to anyone else with an interest in examining digital or digitized images. It includes statistical functions and can generate histograms, colour clouds, image scatter charts and more.

Diction

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®.

DiscoverText

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.

TXM

TXM is a free, open source text corpus analysis environment. Its features include concordance, collocate search, frequencies based on the CQP full text search engine and statistical functions based on R packages. It can export results in CSV, XML or SVG format, and runs as a standalone desktop application in Windows, OS X and Linux environments, or as a web portal (download the leaflet for more).

Textable

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.

sigma.js
Sigma is a JavaScript library dedicated to graph drawing. It makes it easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications.

It is highly interactive and allows a researcher to extend their work from a dedicated graph analysis package such as Gephi and share it via the web to allow for communication of research outputs, while permitting viewers to explore and discover their own findings from the raw graph network.

Corpkit

corpkit is a tool for doing corpus linguistics.

It does a lot of the usual things, like parsing, concordancing and keywording, but also extends their potential significantly: you can concordance by searching for combinations of lexical and grammatical features, and can do keywording of lemmas, of subcorpora compared to corpora, or of words in certain positions within clauses.

Corpus interrogations can be quickly edited and visualised in complex ways, or saved and loaded within projects, or exported to formats that can be handled by other tools.

corpkit accomplishes all of this by leveraging a number of sophisticated programming libraries, including pandas, matplotlib, scipy, Tkinter, tkintertable and Stanford CoreNLP.

SylvaDB

SylvaDB is a graph database management system. It allows users with no knowledge in graph theory to model, collect, query, and analyze data in a network structure. SylvaDB provides tools for easy creation of schemas and modelling, automatic forms creation to input the data, collaborative features, a visual query editor, global and local search, reports charts generation, networks metrics, and visualizations tools.

Lynks - Create Explore Share

Lynks provides an easy to use, in-browser tool that helps you to create your own networks. Lynks is an initiative by Centre for Innovation, part of Leiden University (Campus The Hague). The software has been developed in 2014 in co-creation, with expertise from Dr. Eelke Heemskerk from University of Amsterdam. The software development has been supported by the financial contributions from the European Union Fund for Regional Development (EFRO) and the Municipality of The Hague.