Characterizing and modeling crisis-related conversations in twitter

Characterizing and modeling crisis-related conversations in twitter

In this doctoral thesis, text data extracted from Twitter conversations regarding a natural disasteris analyzed and modelled. In doing so, contributions in different areas emerge: novel Twitterconversation datasets, new tasks scenarios, machine learning models to automatically label thedata. The mai...

Повний опис

Збережено в:
Бібліографічні деталі
Автор: Torres, Johnny (author)
Інші автори: Abad, Cristina, Director (author), Vaca, Carmen, Co-Director (author)
Формат: bachelorThesis
Опубліковано: 2020
Предмети:
Machine learning models
automatically label thedata
conversation on Twitter
Онлайн доступ:http://www.dspace.espol.edu.ec/handle/123456789/54426
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
_version_ 1858337210680475648
author Torres, Johnny
author2 Abad, Cristina, Director
Vaca, Carmen, Co-Director
author2_role author
author
author_facet Torres, Johnny
Abad, Cristina, Director
Vaca, Carmen, Co-Director
author_role author
collection Repositorio Escuela Superior Politécnica del Litoral
dc.creator.none.fl_str_mv Torres, Johnny
Abad, Cristina, Director
Vaca, Carmen, Co-Director
dc.date.none.fl_str_mv 2020
2022-06-15T16:31:57Z
2022-06-15T16:31:57Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Torres, J. (202). Characterizing and modeling crisis-related conversations in twitter. (Doctoral Thesis). Escuela Superior Politécnica del Litoral. Guayaquil.
http://www.dspace.espol.edu.ec/handle/123456789/54426
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv ESPOL. FIEC.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Escuela Superior Politécnica del Litoral
instname:Escuela Superior Politécnica del Litoral
instacron:ESPOL
dc.subject.none.fl_str_mv Machine learning models
automatically label thedata
conversation on Twitter
dc.title.none.fl_str_mv Characterizing and modeling crisis-related conversations in twitter
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bachelorThesis
description In this doctoral thesis, text data extracted from Twitter conversations regarding a natural disasteris analyzed and modelled. In doing so, contributions in different areas emerge: novel Twitterconversation datasets, new tasks scenarios, machine learning models to automatically label thedata. The main goal is to develop a conversational model to help NGOs to cope with the overwhelmingamount of data in the form of conversations, enabling citizens to contribute more efficiently duringnatural disasters.
eu_rights_str_mv openAccess
format bachelorThesis
id ESPOL_d6c7baa3f243bb4ad729ea07e36bf3a8
identifier_str_mv Torres, J. (202). Characterizing and modeling crisis-related conversations in twitter. (Doctoral Thesis). Escuela Superior Politécnica del Litoral. Guayaquil.
instacron_str ESPOL
institution ESPOL
instname_str Escuela Superior Politécnica del Litoral
language_invalid_str_mv en
network_acronym_str ESPOL
network_name_str Repositorio Escuela Superior Politécnica del Litoral
oai_identifier_str oai:www.dspace.espol.edu.ec:123456789/54426
publishDate 2020
publisher.none.fl_str_mv ESPOL. FIEC.
reponame_str Repositorio Escuela Superior Politécnica del Litoral
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Escuela Superior Politécnica del Litoral - Escuela Superior Politécnica del Litoral
repository_id_str 1479
spelling Characterizing and modeling crisis-related conversations in twitterTorres, JohnnyAbad, Cristina, DirectorVaca, Carmen, Co-DirectorMachine learning modelsautomatically label thedataconversation on TwitterIn this doctoral thesis, text data extracted from Twitter conversations regarding a natural disasteris analyzed and modelled. In doing so, contributions in different areas emerge: novel Twitterconversation datasets, new tasks scenarios, machine learning models to automatically label thedata. The main goal is to develop a conversational model to help NGOs to cope with the overwhelmingamount of data in the form of conversations, enabling citizens to contribute more efficiently duringnatural disasters.ESPOL. FIEC.2022-06-15T16:31:57Z2022-06-15T16:31:57Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisapplication/pdfTorres, J. (202). Characterizing and modeling crisis-related conversations in twitter. (Doctoral Thesis). Escuela Superior Politécnica del Litoral. Guayaquil.http://www.dspace.espol.edu.ec/handle/123456789/54426eninfo:eu-repo/semantics/openAccessreponame:Repositorio Escuela Superior Politécnica del Litoralinstname:Escuela Superior Politécnica del Litoralinstacron:ESPOL2023-07-20T15:16:19Zoai:www.dspace.espol.edu.ec:123456789/54426Institucionalhttps://www.dspace.espol.edu.ec/Universidad públicahttps://www.espol.edu.ec/.https://www.dspace.espol.edu.ec/oaiEcuador...opendoar:14792023-07-20T15:16:19falseInstitucionalhttps://www.dspace.espol.edu.ec/Universidad públicahttps://www.espol.edu.ec/.https://www.dspace.espol.edu.ec/oai.Ecuador...opendoar:14792023-07-20T15:16:19Repositorio Escuela Superior Politécnica del Litoral - Escuela Superior Politécnica del Litoralfalse
spellingShingle Characterizing and modeling crisis-related conversations in twitter
Torres, Johnny
Machine learning models
automatically label thedata
conversation on Twitter
status_str publishedVersion
title Characterizing and modeling crisis-related conversations in twitter
title_full Characterizing and modeling crisis-related conversations in twitter
title_fullStr Characterizing and modeling crisis-related conversations in twitter
title_full_unstemmed Characterizing and modeling crisis-related conversations in twitter
title_short Characterizing and modeling crisis-related conversations in twitter
title_sort Characterizing and modeling crisis-related conversations in twitter
topic Machine learning models
automatically label thedata
conversation on Twitter
url http://www.dspace.espol.edu.ec/handle/123456789/54426

Схожі ресурси