ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts
The result's identifiers
Result code in 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>
Result on the web
<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
—
Alternative languages
Result language
angličtina
Original language name
ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference on Language Technologies & Digital Humanities
ISBN
978-961-7104-20-2
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
55-62
Publisher name
Inštitut za novejšo zgodovino
Place of publication
—
Event location
Ljubljana, Slovenia
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—