Identification of author profiles through social networks

The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. T...

Full description

Autores:: Silva, Jesús
Maria Santodomingo, Nicolas Elias
Romero, Ligia
Jorge, Marisol
Herrera, Maritza
Pineda Lezama, Omar Bonerge

Tipo de recurso:: Article of journal

Fecha de publicación:: 2021

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng

id	RCUC2_49157ee453d33458868a40fc7d0b79af
oai_identifier_str	oai:repositorio.cuc.edu.co:11323/7706
network_acronym_str	RCUC2
network_name_str	REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv	Identification of author profiles through social networks
title	Identification of author profiles through social networks
spellingShingle	Identification of author profiles through social networks Lexicon Social networks Author profiling Text classification
title_short	Identification of author profiles through social networks
title_full	Identification of author profiles through social networks
title_fullStr	Identification of author profiles through social networks
title_full_unstemmed	Identification of author profiles through social networks
title_sort	Identification of author profiles through social networks
dc.creator.fl_str_mv	Silva, Jesús Maria Santodomingo, Nicolas Elias Romero, Ligia Jorge, Marisol Herrera, Maritza Pineda Lezama, Omar Bonerge
dc.contributor.author.spa.fl_str_mv	Silva, Jesús Maria Santodomingo, Nicolas Elias Romero, Ligia Jorge, Marisol Herrera, Maritza Pineda Lezama, Omar Bonerge
dc.subject.spa.fl_str_mv	Lexicon Social networks Author profiling Text classification
topic	Lexicon Social networks Author profiling Text classification
description	The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling).
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-01-18T17:34:30Z
dc.date.available.none.fl_str_mv	2021-01-18T17:34:30Z
dc.date.issued.none.fl_str_mv	2021
dc.type.spa.fl_str_mv	Artículo de revista
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv	Text
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
format	http://purl.org/coar/resource_type/c_6501
status_str	acceptedVersion
dc.identifier.uri.spa.fl_str_mv	https://hdl.handle.net/11323/7706
dc.identifier.doi.spa.fl_str_mv	https://doi.org/10.1007/978-981-15-7234-0_84
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.cuc.edu.co/
url	https://hdl.handle.net/11323/7706 https://doi.org/10.1007/978-981-15-7234-0_84 https://repositorio.cuc.edu.co/
identifier_str_mv	Corporación Universidad de la Costa REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.references.spa.fl_str_mv	1. Schler J, Koppel M, Argamon S, Pennebaker JW (2006) Effects of age and gender on blogging. In: Computational approaches to analyzing weblogs, papers from the 2006 AAAI spring symposium, technical report SS-06-03, Stanford, California, USA, 27–29 Mar 2006, pp 199–205 2. Viloria A, Lis-Gutiérrez JP, Gaitán-Angulo M, Godoy ARM, Moreno GC, Kamatkar SJ (2018) Methodology for the design of a student pattern recognition tool to facilitate the teaching—learning process through knowledge data discovery (Big Data). In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham 3. Tang J (2016) AMiner: mining deep knowledge from big scholar data. In: Proceedings of the 25th international conference companion on world wide web, international world wide web conferences steering committee, republic and canton of Geneva, Switzerland, pp 373–373 4. Obit JH, Ouelhadj D, Landa-Silva D, Vun TK, Alfred R (2011) Designing a multi-agent approach system for distributed course timetabling. pp 103–108 5. Lewis MRR (2006) Metaheuristics for university course timetabling. Ph.D. Thesis, Napier University 6. Deng X, Zhang Y, Kang B, Wu J, Sun X, Deng Y (2011) An application of genetic algorithm for university course timetabling problem. pp 2119–2122 7. Mahiba AA, Durai CAD (2012) Genetic algorithm with search bank strategies for university course timetabling problem. Procedia Eng 38:253–263 8. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Know Data Eng 17:734–749 9. Camacho-Vázquez V, Sidorov G, Galicia-Haro SN (2016) Machine learning applied to a balanced and emotional corpus of tweets with many varieties of Spanish. Submitted 10. Nguyen K, Lu T, Le T, Tran N (2011) Memetic algorithm for a university course timetabling problem. pp 67–71. 11. Haddi E, Liu X, Shi Y (2013) The role of text pre-processing in sentiment analysis. In: Procedia computer science first international conference on information technology and quantitative management vol 17, pp 26–32 12. Hemalatha I, Varma DGPS, Govardhan DA (2012) Preprocessing the informal text for efficient sentiment analysis. Int J Emerg Trends Technol Comput Sci (IJETTCS) 1(2):58–61 13. Pinto D, Vilarinõ-Ayala D, Alemán Y, Gómez-Adorno H, Loya N, Jiménez-Salazar H (2012) The soundex phonetic algorithm revisited for sms-based information retrieval. In: II Spanish conference on information retrieval CERI 2012 14. Torres-Samuel M, Vásquez C, Viloria A, Lis-Gutiérrez JP, Borrero TC, Varela N (2018) Web visibility profiles of Top100 Latin American universities. International conference on data mining and big data. Springer, Cham, pp 254–262 15. Henao-Rodríguez C, Lis-Gutiérrez JP, Bouza C, Gaitán-Angulo M, Viloria A (2019) Citescore of publications indexed in scopus: an implementation of panel data. International conference on data mining and big data. Springer, Singapore, pp 53–60 16. Peersman C, Daelemans W, Van Vaerenbergh L (2011) Predicting age and gender in online social networks. In: Proceedings of the 3rd international workshop on search and mining user-generated contents. New York, NY, USA, ACM, pp 37–44 17. Nguyen D, Gravel R, Trieschnigg D, Meder T (2013) how old do you think i am?: a study of language and age in twitter. In: Proceedings of the seventh international AAAI conference on weblogs and social media. ICWSM 18. Rangel F, Rosso P (2013) Use of language and author profiling: Identification of gender and age. In: Proceedings of the 10th workshop on natural language processing and cognitive science (NLPCS-2013) 19. Bedford D (2013) Evaluating classification schema and classification decisions. Bull Am Soc Inform Sci Technol 39:13–21 21. McGrail MR, Rickard CM, Jones R (2006) Publish or perish: a systematic review of interventions to increase academic publication rates. Higher Educ Res Dev 25:19–35 22. Costas R, van Leeuwen TN, Bordons M (2010) A bibliometric classificatory approach for the study and assessment of research performance at the individual level: the effects of age on productivity and impact. J Am Soc Inf Sci 61:1564–1581
dc.rights.spa.fl_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv	http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.spa.fl_str_mv	Corporación Universidad de la Costa
dc.source.spa.fl_str_mv	Advances in Intelligent Systems and Computing
institution	Corporación Universidad de la Costa
dc.source.url.spa.fl_str_mv	https://link.springer.com/chapter/10.1007/978-981-15-7234-0_84
bitstream.url.fl_str_mv	https://repositorio.cuc.edu.co/bitstreams/b22b2dad-ea78-4880-8bda-8b30686ca330/download https://repositorio.cuc.edu.co/bitstreams/b1da79ed-4035-476f-ac4d-0f2c29f83980/download https://repositorio.cuc.edu.co/bitstreams/763db521-e6b7-4930-8592-6353e6eaf460/download https://repositorio.cuc.edu.co/bitstreams/4db9a125-34a6-4694-850a-cee13635f597/download https://repositorio.cuc.edu.co/bitstreams/7e907c22-8722-4b20-afbc-ccd365e50e02/download
bitstream.checksum.fl_str_mv	a37a2ffb4c386e07d898cf13199cdd7e 4460e5956bc1d1639be9ae6146a50347 e30e9215131d99561d40d6b0abbe9bad 89e1f2090b305c0a70079b91edfab951 9ff95e3e7f25f2fa2d2d60c5e09f4a0b
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio de la Universidad de la Costa CUC
repository.mail.fl_str_mv	repdigital@cuc.edu.co
_version_	1811760796870377472
spelling	Silva, JesúsMaria Santodomingo, Nicolas EliasRomero, LigiaJorge, MarisolHerrera, MaritzaPineda Lezama, Omar Bonerge2021-01-18T17:34:30Z2021-01-18T17:34:30Z2021https://hdl.handle.net/11323/7706https://doi.org/10.1007/978-981-15-7234-0_84Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling).Silva, JesúsMaria Santodomingo, Nicolas EliasRomero, LigiaJorge, MarisolHerrera, MaritzaPineda Lezama, Omar Bonergeapplication/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Advances in Intelligent Systems and Computinghttps://link.springer.com/chapter/10.1007/978-981-15-7234-0_84LexiconSocial networksAuthor profilingText classificationIdentification of author profiles through social networksArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Schler J, Koppel M, Argamon S, Pennebaker JW (2006) Effects of age and gender on blogging. In: Computational approaches to analyzing weblogs, papers from the 2006 AAAI spring symposium, technical report SS-06-03, Stanford, California, USA, 27–29 Mar 2006, pp 199–2052. Viloria A, Lis-Gutiérrez JP, Gaitán-Angulo M, Godoy ARM, Moreno GC, Kamatkar SJ (2018) Methodology for the design of a student pattern recognition tool to facilitate the teaching—learning process through knowledge data discovery (Big Data). In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham3. Tang J (2016) AMiner: mining deep knowledge from big scholar data. In: Proceedings of the 25th international conference companion on world wide web, international world wide web conferences steering committee, republic and canton of Geneva, Switzerland, pp 373–3734. Obit JH, Ouelhadj D, Landa-Silva D, Vun TK, Alfred R (2011) Designing a multi-agent approach system for distributed course timetabling. pp 103–1085. Lewis MRR (2006) Metaheuristics for university course timetabling. Ph.D. Thesis, Napier University6. Deng X, Zhang Y, Kang B, Wu J, Sun X, Deng Y (2011) An application of genetic algorithm for university course timetabling problem. pp 2119–21227. Mahiba AA, Durai CAD (2012) Genetic algorithm with search bank strategies for university course timetabling problem. Procedia Eng 38:253–2638. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Know Data Eng 17:734–7499. Camacho-Vázquez V, Sidorov G, Galicia-Haro SN (2016) Machine learning applied to a balanced and emotional corpus of tweets with many varieties of Spanish. Submitted10. Nguyen K, Lu T, Le T, Tran N (2011) Memetic algorithm for a university course timetabling problem. pp 67–71.11. Haddi E, Liu X, Shi Y (2013) The role of text pre-processing in sentiment analysis. In: Procedia computer science first international conference on information technology and quantitative management vol 17, pp 26–3212. Hemalatha I, Varma DGPS, Govardhan DA (2012) Preprocessing the informal text for efficient sentiment analysis. Int J Emerg Trends Technol Comput Sci (IJETTCS) 1(2):58–6113. Pinto D, Vilarinõ-Ayala D, Alemán Y, Gómez-Adorno H, Loya N, Jiménez-Salazar H (2012) The soundex phonetic algorithm revisited for sms-based information retrieval. In: II Spanish conference on information retrieval CERI 201214. Torres-Samuel M, Vásquez C, Viloria A, Lis-Gutiérrez JP, Borrero TC, Varela N (2018) Web visibility profiles of Top100 Latin American universities. International conference on data mining and big data. Springer, Cham, pp 254–26215. Henao-Rodríguez C, Lis-Gutiérrez JP, Bouza C, Gaitán-Angulo M, Viloria A (2019) Citescore of publications indexed in scopus: an implementation of panel data. International conference on data mining and big data. Springer, Singapore, pp 53–6016. Peersman C, Daelemans W, Van Vaerenbergh L (2011) Predicting age and gender in online social networks. In: Proceedings of the 3rd international workshop on search and mining user-generated contents. New York, NY, USA, ACM, pp 37–4417. Nguyen D, Gravel R, Trieschnigg D, Meder T (2013) how old do you think i am?: a study of language and age in twitter. In: Proceedings of the seventh international AAAI conference on weblogs and social media. ICWSM18. Rangel F, Rosso P (2013) Use of language and author profiling: Identification of gender and age. In: Proceedings of the 10th workshop on natural language processing and cognitive science (NLPCS-2013)19. Bedford D (2013) Evaluating classification schema and classification decisions. Bull Am Soc Inform Sci Technol 39:13–2121. McGrail MR, Rickard CM, Jones R (2006) Publish or perish: a systematic review of interventions to increase academic publication rates. Higher Educ Res Dev 25:19–3522. Costas R, van Leeuwen TN, Bordons M (2010) A bibliometric classificatory approach for the study and assessment of research performance at the individual level: the effects of age on productivity and impact. J Am Soc Inf Sci 61:1564–1581PublicationORIGINALIdentification of Author Profiles Through Social Networks.pdfIdentification of Author Profiles Through Social Networks.pdfapplication/pdf92055https://repositorio.cuc.edu.co/bitstreams/b22b2dad-ea78-4880-8bda-8b30686ca330/downloada37a2ffb4c386e07d898cf13199cdd7eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.cuc.edu.co/bitstreams/b1da79ed-4035-476f-ac4d-0f2c29f83980/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/763db521-e6b7-4930-8592-6353e6eaf460/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILIdentification of Author Profiles Through Social Networks.pdf.jpgIdentification of Author Profiles Through Social Networks.pdf.jpgimage/jpeg24608https://repositorio.cuc.edu.co/bitstreams/4db9a125-34a6-4694-850a-cee13635f597/download89e1f2090b305c0a70079b91edfab951MD54TEXTIdentification of Author Profiles Through Social Networks.pdf.txtIdentification of Author Profiles Through Social Networks.pdf.txttext/plain724https://repositorio.cuc.edu.co/bitstreams/7e907c22-8722-4b20-afbc-ccd365e50e02/download9ff95e3e7f25f2fa2d2d60c5e09f4a0bMD5511323/7706oai:repositorio.cuc.edu.co:11323/77062024-09-17 12:45:00.118http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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

Identification of author profiles through social networks

Publicaciones similares