ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AESYT4BHQ" target="_blank" >RIV/00216208:11320/22:ESYT4BHQ - isvavai.cz</a>

Výsledek na webu

<a href="https://nl.ijs.si/jtdh22/pdf/JTDH2022_Gonzalez_ILiAD-An-Interactive-Corpus-for-Linguistic-Annotated-Data-from-Twitter-Posts.pdf" target="_blank" >https://nl.ijs.si/jtdh22/pdf/JTDH2022_Gonzalez_ILiAD-An-Interactive-Corpus-for-Linguistic-Annotated-Data-from-Twitter-Posts.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts

Popis výsledku v původním jazyce

Social Media platforms have offered invaluable opportunities for linguistic research. The availability of up-to-date data, coming from any part in the world, and coming from natural contexts, has allowed researchers to study language in real time. One of the fields that has made great use of social media platforms is Corpus Linguistics. There is currently a wide range of projects which have been able to successfully create corpora from social media. In this paper, we present the development and deployment of a linguistic corpus from Twitter posts in English, coming from 26 news agencies and 27 individuals. The main goal was to create a fully annotated English corpus for linguistic analysis. We include information on morphology and syntax, as well as NLP features such as tokenization, lemmas, and ngrams. The information is presented through a range of powerful visualisations for users to explore linguistic patterns in the corpus. With this tool, we aim to contribute to the area of language technologies applied to linguistic research.

Název v anglickém jazyce

ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts

Popis výsledku anglicky

Social Media platforms have offered invaluable opportunities for linguistic research. The availability of up-to-date data, coming from any part in the world, and coming from natural contexts, has allowed researchers to study language in real time. One of the fields that has made great use of social media platforms is Corpus Linguistics. There is currently a wide range of projects which have been able to successfully create corpora from social media. In this paper, we present the development and deployment of a linguistic corpus from Twitter posts in English, coming from 26 news agencies and 27 individuals. The main goal was to create a fully annotated English corpus for linguistic analysis. We include information on morphology and syntax, as well as NLP features such as tokenization, lemmas, and ngrams. The information is presented through a range of powerful visualisations for users to explore linguistic patterns in the corpus. With this tool, we aim to contribute to the area of language technologies applied to linguistic research.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Conference on Language Technologies & Digital Humanities

ISBN

978-961-7104-20-2

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

55-62

Název nakladatele

Inštitut za novejšo zgodovino

Místo vydání

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Místo konání akce

Ljubljana, Slovenia

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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