Xtralingua: An open-source tool for extracting quantitative text profiles

Panagiotis Papantonakis; Georgios Mikros; Sotiris Leventis; Fotios Fitsilis

Xtralingua: An open-source tool for extracting quantitative text profiles

Panagiotis Papantonakis, Georgios Mikros, Sotiris Leventis, Fotios Fitsilis

HBKU College of Humanities and Social Science

Research output: Contribution to conference › Poster › peer-review

Abstract

This project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities (DH). We developed an open-source working prototype that can also be used in combination with other tools to create an automated pipeline of text analysis.

Original language	English
Publication status	Published - 2020
Event	Digital Humanities Conference 2020 - Ottawa, Canada Duration: 22 Jul 2020 → 24 Jul 2020

Conference

Conference	Digital Humanities Conference 2020
Country/Territory	Canada
City	Ottawa
Period	22/07/20 → 24/07/20

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Cite this

@conference{ada4505ea94e4c3b944e47d69767e869,

title = "Xtralingua: An open-source tool for extracting quantitative text profiles",

abstract = "This project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities (DH). We developed an open-source working prototype that can also be used in combination with other tools to create an automated pipeline of text analysis.",

author = "Panagiotis Papantonakis and Georgios Mikros and Sotiris Leventis and Fotios Fitsilis",

year = "2020",

language = "English",

note = "Digital Humanities Conference 2020 ; Conference date: 22-07-2020 Through 24-07-2020",

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TY - CONF

T1 - Xtralingua: An open-source tool for extracting quantitative text profiles

AU - Papantonakis, Panagiotis

AU - Mikros, Georgios

AU - Leventis, Sotiris

AU - Fitsilis, Fotios

PY - 2020

Y1 - 2020

N2 - This project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities (DH). We developed an open-source working prototype that can also be used in combination with other tools to create an automated pipeline of text analysis.

AB - This project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities (DH). We developed an open-source working prototype that can also be used in combination with other tools to create an automated pipeline of text analysis.

M3 - Poster

T2 - Digital Humanities Conference 2020

Y2 - 22 July 2020 through 24 July 2020

ER -

Xtralingua: An open-source tool for extracting quantitative text profiles

Abstract

Conference

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Cite this