Tools

Visualization

Textual Communities

Community textual editing tool that runs as a service over the web. Alllows one to see manuscript image and edit the XML. Also provides collation tools.

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Natural Language Processing

A free web app to take the pain out of transcribing recorded interviews. No more switching between Quicktime and Word. Pause, rewind and fast-forward without taking your hands off the keyboard. Interactive timestamps to navigate through your transcript with. Automatically saved to your browser's storage every second. Private - your audio file and transcript never leave your computer. Export to Markdown, plain text and Google Docs. Video file support with integrated player. Open source under the MIT license.

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Visualization

OSoMe

OSoMe (awe•some) is a joint project of the Indiana University Network Science Institute (IUNI) and the Center for Complex Networks and Systems Research (CNetS), aimed to study information diffusion in social media. Here we highlight findings, publications, and resources. Use our tools to explore how ideas spread through online social networks. Hoaxy: Visualize the spread of claims and fact checking. Botometer: Check how bot-like a Twitter user behaves. Fakey: PLay this game to learn to recognize fake news on your social feed. Trends: Compare when memes gain and lose popularity. Networks: Explore who is discussing a meme and what memes are related. Maps: Examine where people are talking about a meme over time. Movies: Generate movies of how conversations about a meme evolve over time. EchoDemo: Simulation demonstrating how two basic mechanisms of social media can lead to polarized social networks. Bot Electioneering Volume: Visualizing the activity of likely bots on Twitter around the 2018 US midterm elections. As well as API and Enhanced Data available.

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Capture

Sketch2Code

Transform any hand-drawn design into a HTML code with AI.

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Natural Language Processing

ASV Online Toolbox

ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction. On a more abstract level, the algorithms deal with various kinds of word similarity, using pattern based and statistical approaches. The collection can be used to work on large real world data sets as well as for studying the underlying algorithms.

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Analysis

Leipzig Corpora Collection

This tool allows you to search for words in 252 languages and will give you information about that word based on the corpora they have available. Examples of information returned include examples sentences using that word, coocurrences, similar words/phrases, and a mind-map style graph.

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Creation

Reaper

REAPER is a complete digital audio production application for computers, offering a full multitrack audio and MIDI recording, editing, processing, mixing and mastering toolset. REAPER supports a vast range of hardware, digital formats and plugins, and can be comprehensively extended, scripted and modified.

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Analysis

JSAN

The Integrated JStylo and Anonymouth Package. Authorship recognition analysis tool - Version: 2.9.0

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Uncategorized

FactoMiner

FactoMineR is an R package dedicated to multivariate Exploratory Data Analysis. It is developed and maintained by François Husson, Julie Josse, Sébastien Lê, d'Agrocampus Rennes, and J. Mazet.

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TRACER

TRACER is a suite of 700 algorithms, whose features can be combined to create the optimal formula for detecting those words, sentences and ideas that have been reused across texts. Created by Marco Büchler, TRACER is designed to facilitate research in text reuse detection and many have made use of it to identify plagiarism in a text, as well as verbatim and near verbatim quotations, paraphrase and even allusions. The thousands of feature combinations that TRACER supports allow to investigate not only contemporary texts, but also complex historical texts where reuse is harder to spot.

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