Compilation of a social network lexicon for determining the profile of authors
The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, o...
- Autores:
-
Viloria, Amelec
Parra Negrete, Kevin
Conde, Marcial
Pineda Lezama, Omar Bonerge
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7881
- Acceso en línea:
- https://hdl.handle.net/11323/7881
https://doi.org/10.1007/978-981-15-9671-1_23
https://repositorio.cuc.edu.co/
- Palabra clave:
- Author profiles
Information and communication
Social network lexicon
Machine learning
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors Author profiles Information and communication Social network lexicon Machine learning |
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors |
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Compilation of a social network lexicon for determining the profile of authors |
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Viloria, Amelec Parra Negrete, Kevin Conde, Marcial Pineda Lezama, Omar Bonerge |
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Viloria, Amelec Parra Negrete, Kevin Conde, Marcial Pineda Lezama, Omar Bonerge |
| dc.subject.spa.fl_str_mv |
Author profiles Information and communication Social network lexicon Machine learning |
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Author profiles Information and communication Social network lexicon Machine learning |
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The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, opinions mining, plagiarism detection, calculation of similarity between texts and to develop robust systems that help to make decisions in related areas such as politics, education, economy, among others. This paper provides a lexical aid for the pre-processing of texts posted in social networks evolved for the subsequent languages: English, Spanish, Dutch and Italian. |
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Gelpi Texeira, R.: Política 2.0: las redes sociales (Facebook y Twitter) como instrumento de comunicación política. Estudio: caso Uruguay. Doctoral dissertation, Universidad Complutense de Madrid (2018) Ponte, J.J.V.: La terminología de las redes sociales digitales: estudio morfológico-semántico y lexicográfico. Doctoral dissertation, Universidade da Coruña (2018) Lundberg, J., Laitinen, M.: Twitter trolls: a linguistic profile of anti-democratic discourse. Lang. Sci. 79, 101268 (2020) González, F.: Big data, algoritmos y política: las ciencias sociales en la era de las redes digitales. Cinta de moebio 65, 267–280 (2019) Gómez-Hurtado, I., García Prieto, F.J., Delgado-García, M.: Uso de la red social Facebook como Herramienta de aprendizaje en estudiantes Universitarios: estudio integrado sobre Percepciones. Perspectiva Educacional 57(1), 99–119 (2018) Moreno Fernández, F., Moreno Sandoval, A.: Configuración lingüística de anglicismos procedentes de Twitter en el español estadounidense. Revista signos 51(98), 382–409 (2018) Roldan Robles, P.R.: Desarrollo de una arquitectura conceptual para el análisis de contenidos en redes sociales sobre el tema del aborto usando Python. Bachelor’s thesis (2019) Pila Pila, L.E.: Incidencia ortográfica que generan las redes sociales en los adolecentes. Bachelor’s thesis, Universidad Técnica de Cotopaxi, Facultad de Ciencias Humanas Y Educación, Licenciatura en Comunicación Social, Latacunga (2017) Kharlamov, A.A., Orekhov, A.V., Bodrunova, S.S., Lyudkevich, N.S.: Social network sentiment analysis and message clustering. In: El Yacoubi, S., Bagnoli, F., Pacini, G. (eds.) Internet Science. Lecture Notes in Computer Science, vol. 11938, pp. 18–31. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-34770-3_2 Aljarah, I., et al.: Intelligent detection of hate speech in Arabic social network: a machine learning approach. J. Inf. Sci. 0165551520917651 (2020) López-Monroy, A.P., González, F.A., Solorio, T.: Early author profiling on Twitter using profile features with multi-resolution. Expert Syst. Appl. 140, 112909 (2020) Hilte, L., Daelemans, W., Vandekerckhove, R.: Lexical patterns in adolescents’ online writing: the impact of age, gender, and education. Written Commun. 0741088320917921 (2020) Bi, Q., et al.: Determining the topic evolution and sentiment polarity for albinism in a chinese online health community: machine learning and social network analysis. JMIR Med. Inf. 8(5), e17813 (2020) Bayrakdar, S., Yucedag, I., Simsek, M., Dogru, I.A.: Semantic analysis on social networks: a survey. Int. J. Commun. Syst. e4424 (2020) Rosso, P., et al.: A survey on author profiling, deception, and irony detection for the arabic language. Lang. Linguis. Compass 12(4), e12275 (2018) Gómez-Adorno, H., Markov, I., Sidorov, G., Posadas-Durán, J.P., Arias, C.F.: Compilación de un lexicón de redes sociales para la identificación de perfiles de autor. Res. Comput. Sci. 115, 19–27 (2016) Viloria, A., et al.: Integration of data mining techniques to PostgreSQL database manager system. Proc. Comput. Sci. 155, 575–580 (2019) Hayon, S., et al.: Twitter mentions and academic citations in the urologic literature. Urology 123, 28–33 (2019) Viloria, A., Robayo, P.V.: Virtual network level of application composed IP networks connected with systems-(NETS Peer-to-Peer). Ind. J. Sci. Technol. 9, 46 (2016) Terán, L., Mancera, J.: Dynamic profiles using sentiment analysis and twitter data for voting advice applications. Govern. Inf. Q. 36(3), 520–535 (2019) |
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Viloria, AmelecParra Negrete, KevinConde, MarcialPineda Lezama, Omar Bonerge2021-02-19T16:51:59Z2021-02-19T16:51:59Z2020-11-05https://hdl.handle.net/11323/7881https://doi.org/10.1007/978-981-15-9671-1_23Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, opinions mining, plagiarism detection, calculation of similarity between texts and to develop robust systems that help to make decisions in related areas such as politics, education, economy, among others. This paper provides a lexical aid for the pre-processing of texts posted in social networks evolved for the subsequent languages: English, Spanish, Dutch and Italian.Viloria, AmelecParra Negrete, Kevin-will be generated-orcid-0000-0003-0276-3215-600Conde, MarcialPineda Lezama, Omar Bonergeapplication/pdfengCorporación Universidad de la Costahttps://link.springer.com/bookseries/7899Gelpi Texeira, R.: Política 2.0: las redes sociales (Facebook y Twitter) como instrumento de comunicación política. Estudio: caso Uruguay. Doctoral dissertation, Universidad Complutense de Madrid (2018)Ponte, J.J.V.: La terminología de las redes sociales digitales: estudio morfológico-semántico y lexicográfico. Doctoral dissertation, Universidade da Coruña (2018)Lundberg, J., Laitinen, M.: Twitter trolls: a linguistic profile of anti-democratic discourse. Lang. Sci. 79, 101268 (2020)González, F.: Big data, algoritmos y política: las ciencias sociales en la era de las redes digitales. Cinta de moebio 65, 267–280 (2019)Gómez-Hurtado, I., García Prieto, F.J., Delgado-García, M.: Uso de la red social Facebook como Herramienta de aprendizaje en estudiantes Universitarios: estudio integrado sobre Percepciones. Perspectiva Educacional 57(1), 99–119 (2018)Moreno Fernández, F., Moreno Sandoval, A.: Configuración lingüística de anglicismos procedentes de Twitter en el español estadounidense. Revista signos 51(98), 382–409 (2018)Roldan Robles, P.R.: Desarrollo de una arquitectura conceptual para el análisis de contenidos en redes sociales sobre el tema del aborto usando Python. Bachelor’s thesis (2019)Pila Pila, L.E.: Incidencia ortográfica que generan las redes sociales en los adolecentes. Bachelor’s thesis, Universidad Técnica de Cotopaxi, Facultad de Ciencias Humanas Y Educación, Licenciatura en Comunicación Social, Latacunga (2017)Kharlamov, A.A., Orekhov, A.V., Bodrunova, S.S., Lyudkevich, N.S.: Social network sentiment analysis and message clustering. In: El Yacoubi, S., Bagnoli, F., Pacini, G. (eds.) Internet Science. Lecture Notes in Computer Science, vol. 11938, pp. 18–31. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-34770-3_2Aljarah, I., et al.: Intelligent detection of hate speech in Arabic social network: a machine learning approach. J. Inf. Sci. 0165551520917651 (2020)López-Monroy, A.P., González, F.A., Solorio, T.: Early author profiling on Twitter using profile features with multi-resolution. Expert Syst. Appl. 140, 112909 (2020)Hilte, L., Daelemans, W., Vandekerckhove, R.: Lexical patterns in adolescents’ online writing: the impact of age, gender, and education. Written Commun. 0741088320917921 (2020)Bi, Q., et al.: Determining the topic evolution and sentiment polarity for albinism in a chinese online health community: machine learning and social network analysis. JMIR Med. Inf. 8(5), e17813 (2020)Bayrakdar, S., Yucedag, I., Simsek, M., Dogru, I.A.: Semantic analysis on social networks: a survey. Int. J. Commun. Syst. e4424 (2020)Rosso, P., et al.: A survey on author profiling, deception, and irony detection for the arabic language. Lang. Linguis. Compass 12(4), e12275 (2018)Gómez-Adorno, H., Markov, I., Sidorov, G., Posadas-Durán, J.P., Arias, C.F.: Compilación de un lexicón de redes sociales para la identificación de perfiles de autor. Res. Comput. Sci. 115, 19–27 (2016)Viloria, A., et al.: Integration of data mining techniques to PostgreSQL database manager system. Proc. Comput. Sci. 155, 575–580 (2019)Hayon, S., et al.: Twitter mentions and academic citations in the urologic literature. Urology 123, 28–33 (2019)Viloria, A., Robayo, P.V.: Virtual network level of application composed IP networks connected with systems-(NETS Peer-to-Peer). Ind. J. Sci. Technol. 9, 46 (2016)Terán, L., Mancera, J.: Dynamic profiles using sentiment analysis and twitter data for voting advice applications. Govern. Inf. Q. 36(3), 520–535 (2019)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Communications in Computer and Information Sciencehttps://link.springer.com/chapter/10.1007/978-981-15-9671-1_23Author profilesInformation and communicationSocial network lexiconMachine learningCompilation of a social network lexicon for determining the profile of authorsArtículo 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/acceptedVersionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/7329e83f-2b60-4a6a-8627-af2aa920ef10/downloade30e9215131d99561d40d6b0abbe9badMD53ORIGINALCompilation of a Social Network Lexicon for Determining the Profile of Authors.pdfCompilation of a Social 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