A large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept.

An image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images.

Course offered periodically from Lancaster University

Yearly a 5-day training institute for learning more about Digital Humanities theory, practice, and culture. Additional courses are also available

an annual digital scholarship training institute that takes place at the University of Victoria, CA

Site with many links to text mining and digital humanities resources

A comprehensive list of over 200 free, opensource, and commercial software packages and other resources used in corpus analysis.

web based way to fix and clean up text when copying and pasting between applications. Remove email indents, find and replace, clean up spacing, line breaks, word characters and more.

open source tool for cleaning data in spreadsheets

HTML and text editor for MAC

models linguistic concepts like words, word meanings (entities), categories (e.g. person name, city), grammatical word types and so on as neurons in the neural network. - Java based

A freeware tool for profiling the vocabulary level and complexity of texts. (Windows, MAC, Linux, Python underdevelopment)

supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution.

Natural Language Processing and Text Analysis extension to RapidMiner

Open Source Search Results Clustering Engine

Analyzes texts on many levels of language and discourse, such word concreteness, syntax, cohesion, and storyhood

Web service for Sentiment Analysis, Topic Classification, Language Detection, Subjectivity Analysis, Spam Detection, Reading Assessment, Keyword and Text Extraction (limited calls per day)

Java suite of tools an open source software toolkit capable of solving almost any text processing problem; YODIE (Named Entity Disambiguation and Linking), BioYODIE (YODIE for biomedical text), Generic Sentiment Analysis Tool, TwitIE (Information Extraction for Tweets)

Sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. Pricing is by the units with 1-5000 1000 word documents is at no charge.

Standalone desktop open-source tool for comparing and collating multiple versions of a single textual work. Originally designed to aid scholars and editors examine the history of a text from manuscript to print versions,

Analyze Catalan, Chinese (simplified), Dutch, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Slovenian and Spanish text. Pdf is helpful for understanding the process; stopwords, word frequency lists, co-occurrence networks, heirarchical cluster analysis, multi-dimensional scaling

Web-based tool designed for transforming, analyzing, and visualizing texts. Lexos is designed for use primarily with small to medium-sized text collections, and especially for use with ancient languages and languages that do not employ the Latin alphabet.

Short-text classification and analysis. It can handle the classification of, for example, titles, questions, sentences, and short messages. Fast training and testing

Java API, multi lingual, tasks such as find names of people in the news; classifying Twitter results

Text learning or classification system that learns from a set of positive documents and a set of unlabeled documents (without labeled negative documents) can be used for retrieval or classification

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

Open-source data visualization, machine learning and data mining toolkit (also can be used as a Python library) use with Textable

Analysis text data as well as still images in plain text, RTF, HTML, PDF as well as data stored in Excel, MS Access, CSV, tab delimited text files,

MAC-OS, let you assign ethnographic codes to passages of a text; Linux

An open-source add-in for Orange that performs a range of text analyses

Enables you to build analyzers that can be maintained and enhanced by non-programmers and non-linguists; integrated development environment

A cloud-based tool for performing some automated computational text analysis on documents that you upload.

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization.

ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data.
The University of Arkansas does not have discounted subscriptions to this tool

NVivo helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.
The University of Arkansas does not provide discount pricing on this tool.

Reads text data and transforms it to numerical data in order to perform data mining techniques such as clustering and classification