| Attributes | Values |
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| rdf:type
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| rdfs:seeAlso
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| Description
| - QUITA is a versatile tool with many uses designed for researchers from various disciplines (linguistics, criticism, history, sociology, psychology, politics, biology, etc.). The program enables basic text processing functions like creating word lists, text lemmatizing or creating n-grams. The program also provides more advanced tools such as a random text creator or a binary file translator. However, the main part of the software is an indicator computing. Although the authors focused mainly on the indicators connected to frequency structure of a text (e.g. h-point, entropy, repeat rate, adjusted modulus, Gini's coefficient, lambda), there are also several other charact- eristics such as thematic concentration, activity & descriptivity or writer's view. The main purpose of QUITA is to provide user-friendly tool of quantitative text analysis for researchers (especially from the humanities) without deeper knowledge of quantitative linguistics, statistics and programming. Apart from generating results, QUITA also enables a simple statistical comparison and creating charts. There is no need to use any additional software such as spreadsheet applications or special statistical programs. In sum, QUITA is the program that combines all important parts of any quantitative research: obtaining results, statistical testing and graphical visualization. QUITA is a tool with wide range of application, from stylometry to DNA analysis. Although almost all indicators in the software were proposed as features for common linguistic research (e.g. authorship attribution, genre or thematic analysis), possibilities are practically endless. Biologists can use one of available tokenizers (DNA Triplet Tokenizer, DNA Nucleotide Tokenizer) to handle with DNA as a text and apply the indicators, for instance. There is also an option to use different units other then words or lemmas such as characters, n-grams, etc.
- QUITA is a versatile tool with many uses designed for researchers from various disciplines (linguistics, criticism, history, sociology, psychology, politics, biology, etc.). The program enables basic text processing functions like creating word lists, text lemmatizing or creating n-grams. The program also provides more advanced tools such as a random text creator or a binary file translator. However, the main part of the software is an indicator computing. Although the authors focused mainly on the indicators connected to frequency structure of a text (e.g. h-point, entropy, repeat rate, adjusted modulus, Gini's coefficient, lambda), there are also several other charact- eristics such as thematic concentration, activity & descriptivity or writer's view. The main purpose of QUITA is to provide user-friendly tool of quantitative text analysis for researchers (especially from the humanities) without deeper knowledge of quantitative linguistics, statistics and programming. Apart from generating results, QUITA also enables a simple statistical comparison and creating charts. There is no need to use any additional software such as spreadsheet applications or special statistical programs. In sum, QUITA is the program that combines all important parts of any quantitative research: obtaining results, statistical testing and graphical visualization. QUITA is a tool with wide range of application, from stylometry to DNA analysis. Although almost all indicators in the software were proposed as features for common linguistic research (e.g. authorship attribution, genre or thematic analysis), possibilities are practically endless. Biologists can use one of available tokenizers (DNA Triplet Tokenizer, DNA Nucleotide Tokenizer) to handle with DNA as a text and apply the indicators, for instance. There is also an option to use different units other then words or lemmas such as characters, n-grams, etc. (en)
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| Title
| - Quantitative Index Text Analyser (QUITA)
- Quantitative Index Text Analyser (QUITA) (en)
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| skos:prefLabel
| - Quantitative Index Text Analyser (QUITA)
- Quantitative Index Text Analyser (QUITA) (en)
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| skos:notation
| - RIV/61989592:15210/13:33148824!RIV14-MSM-15210___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...onomickeParametry
| - Umožňuje provádět automatické analýzy textu bez nutné znalosti k tomu nutné formalizace.
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989592:15210/13:33148824
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| http://linked.open...terniIdentifikace
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| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - quantitative text analysis, authorship attribution, genre analysis, thematic analysis, text frequency structure, h-point, entropy, repeat rate, adjusted modulus, Gini's coefficient, lambda (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
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| http://linked.open...UplatneniVysledku
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| http://linked.open...echnickeParametry
| - Jedná se o freeware, program je volně šiřitelný.
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| http://linked.open...iv/tvurceVysledku
| - Čech, Radek
- Kubát, Miroslav
- Matlach, Vladimír
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| http://linked.open...avai/riv/vlastnik
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| http://linked.open...itiJinymSubjektem
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| http://localhost/t...ganizacniJednotka
| |
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