What can we learn from almost a decade of food tweets

Uga Sproagis; Matīss Rikters

doi:10.3233/FAIA200622

What can we learn from almost a decade of food tweets

Uga Sproagis^*
, Matīss Rikters

^*Šī darba korespondējošais autors

University of Latvia
The University of Tokyo
Datorikas fakultāte Maģistrantūra

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

5 Atsauces (Scopus)

Kopsavilkums

We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.

Oriģinālvaloda	Angļu
Rīkotāja publikācijas nosaukums	Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020
Redaktori	Andrius Utka, Jurgita Vaicenoniene, Jolanta Kovalevskaite, Danguole Kalinauskaite
Publikācijas vieta	Amsterdam
Izdevējs	IOS Press
Lapas	191-198
ISBN (Drukātā versija)	9781643681160
DOIs	https://doi.org/10.3233/FAIA200622
Publikācijas statuss	Publicēts - 15 sept. 2020

Publikāciju sērijas

Nosaukums	Frontiers in Artificial Intelligence and Applications
Sējums	328
ISSN (Drukātā versija)	0922-6389
ISSN (Elektroniskā versija)	1879-8314

OECD Zinātnes nozare

1.2 Datorzinātne un informātika

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Sproagis, U., & Rikters, M. (2020). What can we learn from almost a decade of food tweets. (gadā) A. Utka, J. Vaicenoniene, J. Kovalevskaite, & D. Kalinauskaite (Red.), Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020 (lpp. 191-198). (Frontiers in Artificial Intelligence and Applications; Sēj. 328). IOS Press. https://doi.org/10.3233/FAIA200622

Sproagis, Uga ; Rikters, Matīss. / What can we learn from almost a decade of food tweets. Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020. redaktors / Andrius Utka ; Jurgita Vaicenoniene ; Jolanta Kovalevskaite ; Danguole Kalinauskaite. Amsterdam : IOS Press, 2020. lpp. 191-198 (Frontiers in Artificial Intelligence and Applications).

@inproceedings{5fbfc3c796114ae5b154e03786d6153c,

title = "What can we learn from almost a decade of food tweets",

abstract = "We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.",

keywords = "Annotated corpora, Food data, Latvian, Social networks",

author = "Uga Sproagis and Matīss Rikters",

note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.",

year = "2020",

month = sep,

day = "15",

doi = "10.3233/FAIA200622",

language = "English",

isbn = "9781643681160",

series = "Frontiers in Artificial Intelligence and Applications",

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booktitle = "Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020",

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Sproagis, U & Rikters, M 2020, What can we learn from almost a decade of food tweets. (kur) A Utka, J Vaicenoniene, J Kovalevskaite & D Kalinauskaite (red.), Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020. Frontiers in Artificial Intelligence and Applications, sēj. 328, IOS Press, Amsterdam, lpp. 191-198. https://doi.org/10.3233/FAIA200622

What can we learn from almost a decade of food tweets. / Sproagis, Uga; Rikters, Matīss.
Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020. red. / Andrius Utka; Jurgita Vaicenoniene; Jolanta Kovalevskaite; Danguole Kalinauskaite. Amsterdam: IOS Press, 2020. lpp. 191-198 (Frontiers in Artificial Intelligence and Applications; Sēj. 328).

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

TY - GEN

T1 - What can we learn from almost a decade of food tweets

AU - Sproagis, Uga

AU - Rikters, Matīss

PY - 2020/9/15

Y1 - 2020/9/15

N2 - We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.

AB - We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.

KW - Annotated corpora

KW - Food data

KW - Latvian

KW - Social networks

UR - http://ebooks.iospress.nl/volumearticle/55543

UR - https://www.scopus.com/pages/publications/85093357704

U2 - 10.3233/FAIA200622

DO - 10.3233/FAIA200622

M3 - Conference paper

SN - 9781643681160

T3 - Frontiers in Artificial Intelligence and Applications

SP - 191

EP - 198

BT - Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020

A2 - Utka, Andrius

A2 - Vaicenoniene, Jurgita

A2 - Kovalevskaite, Jolanta

A2 - Kalinauskaite, Danguole

PB - IOS Press

CY - Amsterdam

ER -

Sproagis U, Rikters M. What can we learn from almost a decade of food tweets. (gadā) Utka A, Vaicenoniene J, Kovalevskaite J, Kalinauskaite D, redaktori, Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020. Amsterdam: IOS Press. 2020. lpp. 191-198. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA200622

What can we learn from almost a decade of food tweets

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