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TAPoR Text Analysis Portal for Research

For researchers who work with text

Find a text analysis tool that fits the work.

TAPoR catalogues concordancers, annotators, topic models, stylometry packages, and visualization environments. Every record notes the platform, the license, and what the tool is actually good for.

  • Platform, license, and method on every record
  • Reviews from people who teach with the tools
  • Lists assembled around a course or a corpus

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Visualization

MAXQDA

MAXQDA is a commercial software package for facilitating qualitative and mixed methods research. It includes a graphical interface for organizing and categorizing data, and can import data in a wide variety of formats, including web formats, images, audio and video and spreadsheets. Data can be encoded in several ways, such as keywords, colours or symbols. It includes visualization and report generation.

Rated 0.0 out of 5.

Visualization

Meandre

Meandre is a graphical programming language for creating text analysis flows, built on top of the Seasr infrastructure. Meandre uploads its flows to a Seasr server where they can be accessed and used by anyone who can access the server.

Rated 0.0 out of 5.

Visualization

Minitab

Minitab provides tools for statistical analysis and visualization. It includes tools for creating graphics, and working with variance, regression, reliability, sample size, time series, forecasting, equivalence tests, tables, simulations, and distributions.

Rated 0.0 out of 5.

Visualization

MONK (Metadata Offer New Knowledge)

MONK (Metadata Offer New Knowledge) is a digital environment for humanities scholars. It is desgined to assist with the discovery and analysis of patterns within texts, incorporating full text content from corpora such as ECCO, EEBO and Early American Fiction directly into the tool. The MONK Workbench is the primary environment, permitting users to create worksets, perform analytics and save their results. In addition, the MONK workbench can be used in conjunction with the Flameco faceted browser and Zotero.

Rated 0.0 out of 5.

Visualization

Multiple Correspondence Analysis and Content Analysis

This notebook's aim is to showcase how to conduct Multiple Correspondence Analysis (MCA) on a corpus. In this notebook, we will be using a collection of novels by different authors i.e The Return of Sherlock Holmes by Arthur Conan Doyle, Lady Susan by Jane Austen, and A Christmas Carol by Charles Dickens taken from Project Gutenberg. First will gather and load in all the text. We clean them and break them down into tokens. We will categorize the tokens using General Inquirer Category taken from Harvard to conduct our analysis. From there we will conduct MCA on the results and plot the results on a scatter plot.

Rated 0.0 out of 5.

Visualization

myHistro

Visualizes a series of events across both time and space. Allows researcher to create of an interactive timeline and map that are linked together. Users of the timeline can press "play" to watch the timeline scroll forward and the map zoom from place to place as they highlight each event (and the researcher's attached images and text) in turn. Users can also pause the progress of history, move forward or back at their own pace, and zoom in or out of either the map or timeline to examine areas of interest. Compare to: StoryMap JS, MapStory, Odyssey.js

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Curated lists

Curated list created by experience authors in the fields.

All curated lists

Geoffrey Rockwell

Cool Voyant Tools

Not all Voyant tools show up in the default view or skin. Here is a list of some of the other tools worth trying.

4 tools

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Holly Pickering

Audio Production Software

Interested in audio production and editing? Here are a few programs that can help you get on your way. Some of them are free, some not, but all are helpful and useful.

3 tools

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Jason Bradshaw

TATR: Text Analysis for Twitter Research

This list compiles a suite of tools that make up Kynan Ly's Text Analysis for Twitter Research (TATR) Library. Recipes to these notebooks can be found on methodi.ca

6 tools

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