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TAPoR (Text Analysis Portal for Research) is a gateway that highlights tools and code snippets usable for textual criticism of all types. The project is housed at the University of Alberta , and is currently led by Geoffrey Rockwell, Stéfan Sinclair, Kirsten C. Uszkalo, and Milena Radzikowska.
Flex (fast lexical analyzer generator) is a free and open-source software alternative to lex. [2] It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers").
Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities , but also by students and the general public.
ELAN is computer software, a professional tool to manually and semi-automatically annotate and transcribe audio or video recordings. [2] It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media.
Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...
PolyAnalyst was used to build a subrogation prediction tool which determines the likelihood that a claim is subrogatable, and if so, the amount that is expected to be recovered. [citation needed] The tool works by categorizing insurance claims based on whether or not they meet the criteria that are needed for successful subrogation.
Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.
The term is roughly synonymous with text mining; indeed, Ronen Feldman modified a 2000 description of "text mining" [6] in 2004 to describe "text analytics". [7] The latter term is now used more frequently in business settings while "text mining" is used in some of the earliest application areas, dating to the 1980s, [ 8 ] notably life-sciences ...
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