A review of Sentiment Analysis in Spanish

Carlos Nelson Henriquez Miranda, Jaime Guzman, Ricardo Santamaria

Abstract


Sentiment analysis is an area of research that shows an upward trend, especially in the last two years due to large-scale production of opinions and comments from users active over the Web and social networks, in general. Companies and organizations are interested in knowing of their reputation in social networks, blogs, wikis, and other Web sites. Until now, the vast majority of the work involves systems in English. For this reason, the scientific community is interested in studies in other languages. This paper provides a brief overview of the current state of sentiment analysis in Spanish language


Keywords


Inteligencia artificial; Minería de opinión; Análisis de sentimiento; PLN

Full Text:

PDF XML

References


B. Liu, Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, 2012.

B. Pang y L. Lee, «Opinion Mining and Sentiment Analysis,» Vols. %1 de %22(1-2), nº 1-135, 2008.

M. Tsytsarau y T. Palpanas, «Survey on mining subjective data on the web,» Data Mining and Knowledge Discovery, pp. 478-514, 2012.

W. Medhat, A. Hassan y H. Korashy, «Sentiment analysis algorithms and applications: A survey,» Ain Shams Engineering Journal, pp. 1093-1113, 2014.

B. Liu, Sentiment Analysis: Mining Opinions, Sentiments, and Emotions., Cambridge University Press., 2015.

L. C. Fiol, J. S. García, M. M. T. Miguel y S. F. Coll, «La importancia de las comunidades virtuales para el análisis del valor de marca. El caso de Tripadvisor en Hong Kong y París,» Papers de turisme, nº 52, pp. 89-115, 2012.

I. P. Martínez, R. V. García y F. G. Sánchez, «Minería de Opiniones basada en características guiada por,» Procesamiento del Lenguaje Natural, nº 46, pp. 91-98, 2011.

María- Teresa Martín Valdivia, E. M. Cámara, J. M. P. Ortega y L. A. U. López, «Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches,» Expert Systems with Applications, vol. 4, nº 10, p. 3934–3942, 2012.

N. LI y D. D. W. , «Using text mining and sentiment analysis for online forums hotspot detection and forecast,» Decision Support Systems, vol. 48, nº 2, pp. 354 - 368, 2010.

S. Rill, D. Reinel, J. Scheidt y R. V. Zicari, «PoliTwi: Early detection of emerging political topics on twitter and the impact on concept-level sentiment analysis,» Knowledge-Based Systems, vol. 69, pp. 24-33, 2014.

M. Anjaria y R. M. R. Guddeti, «A novel sentiment analysis of social networks using supervised learning,» Social Network Analysis and Mining, vol. 4, nº 1, pp. 1-15, 2014.

A. Ortigosa, J. M. Martín y R. M. Carro, «Sentiment analysis in Facebook and its application to e-learning,» Computers in Human Behavior, vol. 31, pp. 527-541, 2014.

F. Greaves, D. Ramirez-Cano, C. Millett, A. Darzi y L. Donaldson, «Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online,» Journal of medical Internet research, vol. 15, nº 11, 2013.

X. Dong, Q. Zou y Y. Guan, «Set-Similarity joins based semi-supervised sentiment analysis." Neural Information Processing. Springer Berlin Heidelberg, 2012.,» de Neural Information Processing, Springer Berlin Heidelberg, 2012, pp. 176-183.

P. D. Turney, «Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews,» de Proceedings of the 40th annual meeting on association for computational linguistics, Stroudsburg, PA, USA, 2002.

M.Govindarajan y M. Romina, «A Survey of Classification Methods and Applications for Sentiment Analysis,» The International Journal Of Engineering And Science (IJES), vol. 2, nº 12, pp. 11-15, 2013.

A. Balahur, «Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications,» Computer Speech & Language, vol. 28, nº 1, pp. 1-6, 2014.

L. Dey y S. K. M. Haque, «Opinion mining from noisy text data,» de Proceedings of the second workshop on Analytics for noisy unstructured text data, New York, 2008.

E. Haddi, X. Liu y Y. Shi, «The Role of Text Pre-processing in Sentiment Analysis,» Procedia Computer Science, vol. 17, pp. 26-32, 2013.

J. Smailović, M. Grčar, N. Lavrač y M. Žnidaršič, «Stream-based active learning for sentiment analysis in the financial domain,» Information Sciences, vol. 285, pp. 181-203, 2014.

Sepln, 12 12 2014. [En línea]. Available: http://www.sepln.org/.

A. Bagheri, M. Saraee y F. d. Jong, «An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews,» de Language Processing and Information Systems, Springer Berlin Heidelberg, 2013, pp. 140-151.

G. Qiu, B. Liu, J. Bu y C. Chen, «Opinion word expansion and target extraction through double propagation,» Computational Linguistics, vol. 37, nº 1, pp. 9 - 27, 2011.

A. Abbasi, H. Chen y A. Salem, «Sentiment Analysis in Multiple Languages: Feature,» ACM Transactions on Information Systems (TOIS), vol. 26, nº 3, p. 12, 2008.

K. Ravia y V. Ravia, «A survey on opinion mining and sentiment analysis: Tasks, approaches and applications.,» Knowledge-Based Systems,, vol. 89, pp. 14-46., 2015.

F. Pla y L.-F. Hurtado, «Sentiment Analysis in Twitter for Spanish,» Natural Language Processing and Information Systems, pp. 208-213, 2014.

T. Mullen y N. Collier, «Sentiment Analysis using Support Vector Machines with Diverse Information Sources,» EMNLP, vol. 4, pp. 412-418, 2004.

César Alfaro, «A multi-stage method for content classification and opinion mining on weblog comments,» Annals of Operations Research, pp. 1-17, 2013.

E. Boldrini, A. Balahur, P. Martínez-Barco y A. Montoyo, «Using EmotiBlog to annotate and analyse subjectivity in the new textual genres,» Data Mining and Knowledge Discovery, vol. 25, nº 3, pp. 603-634, 2012.

A. Lazaridou, I. Titov y C. Sporleder, «A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations.,» ACL, vol. 1, pp. 1630 -1639, 2013.

A. Pak y P. Paroubek., «Twitter as a Corpus for Sentiment Analysis and Opinion Mining,» LREC, vol. 10, pp. 1320 -1326, 2010.

J. Ortigosa-Hernández, J. D. Rodríguez, L. Alzate, M. Lucania, I. Inza y J. A. Lozano, «Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers,» Neurocomputing, vol. 92, pp. 98-115, 2012.

M. Ghiassi, J. Skinner y D. Zimbra, «Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network,» Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network, vol. 40, nº 16, pp. 6266-6282, 2013.

F. Rodriguez, Cuantificación del interés de un usuario en un tema mediante minería de texto y análisis de sentimiento, Diss. Universidad Autónoma de Nuevo León, 2013.

T. Nasukawa y J. Yi, «Sentiment analysis: Capturing favorability using natural language processing,» de Proceedings of the 2nd international conference on Knowledge capture. ACM, 2003.

J. Brooke, M. Tofiloski y M. Taboada, «Cross-Linguistic Sentiment Analysis: From English to Spanish.,» RANLP, pp. 50 - 54, 2009.

M. Taboada, J. Brooke, M. Tofiloski, K. Voll y M. Stede, «Lexicon-Based Methods for Sentiment Analysis,» Computational linguistics, vol. 37, nº 2, pp. 267 - 307, 2011.

Alexander Hogenboom, «Multi-lingual support for lexicon-based sentiment analysis guided by semantics.,» Decision support systems, vol. 62, pp. 43-53, 2014.

S. Feng, D. Wang, G. Yu, W. Gao y K.-F. Wong, «Extracting common emotions from blogs based on fine-grained sentiment clustering,» Knowledge and information systems, vol. 27, nº 2, pp. 281-302, 2011.

F. Cruz, J. T. J. Ortega y C. Vallejo, «Inducción de un Lexicón de Opinión Orientado al Dominio,» Procesamiento del lenguaje natural , vol. 43, pp. 5 - 12, 2009.

S. Baccianella, A. Esuli y F. Sebastiani, «SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining,» LREC, vol. 10, pp. 2200 -2204, 2010.

V. Perez-Rosas, C. Banea y R. Mihalcea, «Learning Sentiment Lexicons in Spanish,» LREC, pp. 3077-3081, 2012.

F. L. Cruz, J. A. Troyano, B. Pontes y F. J. Ortega, «Building layered, multilingual sentiment lexicons at synset and lemma levels,» Expert Systems with Applications, vol. 41, nº 13, pp. 5984-5994, 2014.

M. D. Molina-González, E. Martínez-Cámara, M.-T. Martín-Valdivia y J. M. Perea-Ortega, «Semantic orientation for polarity classification in Spanish reviews,» Expert Systems with Applications, vol. 40, nº 18, pp. 7250-7257, 2013.

M. Sokolova y G. Lapalme, «A systematic analysis of performance measures for classification tasks,» Information Processing and Management, pp. 427 - 437, 2009.

M. John, F. Kubala, R. Schwartz y W. R, «Performance measures for information extraction,» de Proceedings of DARPA broadcast news workshop, 1999.

M. Sokolova y G. Lapalme, «A systematic analysis of performance measures for classification tasks,» Information Processing and Management, pp. 427 - 437, 2009.

E. Rodríguez, A. I. T. Bastida, A. García-Serrano y M. G. Rodríguez, «Using a linguistic approach for sen-timent analysis,» de TASS 2011, 2011.

Pablo Gamallo, M. G. y S. Fernández-Lanza, «TASS: A Naive-Bayes strategy for sentiment analysis on Spanish tweets.,» de Workshop on Sentiment Analysis at SEPLN (TASS2013), 2013.

J. Fernandez, Y. Gutiérrez, J. M. Gómez, P. Martinez, A. Montoyo y R. Muñoz, «Sentiment Analysis of Spanish Tweets,» de XXIX Congreso de la Sociedad Espanola de Procesamiento de Lenguaje Natural (SEPLN 2013), 2013.

H. Cordobés, «Técnicas basadas en grafos para la categorización de tweets por tema,» de XXIX Congreso de la Sociedad Espanola para el Procesamiento del Lenguaje Natural (SEPLN 2013), 2013.

X. Saralegi Urizar y I. San Vicente Roncal, «Elhuyar at TASS 2013,» de TASS 2013, Madrid, 2013.

R. del Hoyo, I. Hupont y F. Lacueva, «Descubrimiento de nuevas palabras con polaridad afectiva através de técnicas de inteligencia artificial general,» de TASS 2013, Madrid, 2013.

B. Alexandra y J. M. Perea-Ortega, «Experiments using varying sizes and machine translated data for sentiment analysis in Twitter.,» de TASS workshop at SEPLN 2013, 2013.

D. Garcıa y M. Thelwall, «Political alignment and emotional expression in Spanish Tweets,» de XXIX Congreso de la Sociedad Española de Procesamiento de Lenguaje Natural, Madrid, 2013.

A. Moreno, F. P. Castillo y R. H. García, «Análisis de Valoraciones de Usuario de Hoteles con Sentitext,» Procesamiento del Lenguaje Natural, vol. 45, pp. 31-39, 2010.

I. Alegria, N. Aranberri, V. Fresno, P. Gamallo, L. Padró, I. San Vicente, J. Turmo y A. Zubiaga, «Introducción a la tarea compartida Tweet-Norm 2013: Normalización léxica de tuits en español,» de XXIX Congreso de la Sociedad Española para el Procesamiento del Lenguaje, Madrid, 2015.

V. Rosas, R. Mihalcea y L.-P. Morency, «Multimodal sentiment analysis of Spanish online videos,» IEEE Intelligent Systems, vol. 28, nº 3, pp. 38 - 45, 2013.

L. Hurtado y F. Pla, «Análisis de Sentimientos, Detección de Tópicos y Análisis de Sentimientos de Aspectos en Twitter,» de TASS 2014, 2014.

A. Moreno-Ortiz y C. P. Hernández, «Lexicon-based sentiment analysis of Twitter messages in Spanish,» Procesamiento del lenguaje natural, vol. 50, pp. 93-100, 2013.

M. Salas-Zárate, E. López-López, R. Valencia-García, N. Aussenac-Gilles, Á. Almela y G. Alor-Hernández, «A study on LIWC categories for,» Journal of Information Science, vol. 40, nº 6, pp. 749-760, 2014.

D. Vilares, Y. Doval, M. A. Alonso y C. Gómez-Rodríguez, «A Prototype for Extracting and Analysing Aspects from Spanish tweets,» de TASS 2014, 2014.

A. Rosá, D. Wonsever y J.-L. Minel, «Opinion Identification in Spanish Texts,» de Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, Los Angeles, 2010.

D. Vilares, M. Hermo, M. A. Alonso, C. Gomez-Rodríguez y Y. Doval, «LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English,» de Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), Dublin, Ireland, 2014.

J. Fernández, J. M. Gómez y P. Martínez-Barco, «Análisis de sentimientos multilingüe en la Web 2.0,» de V Jornadas TIMM, Cazalla de la Sierra, 2014.

E. Martínez-Cámara, M. T. Martín-Valdivia, L. A. Ureña-López y R. Mitkov, «Polarity classification for Spanish tweets using the COST corpus,» Journal of Information Science, 2015.

M. D. Molina-González, E. Martínez-Cámara, M. T. Martín-Valdivia y L. A. Ureña-López , «A Spanish semantic orientation approach to domain adaptation for polarity classification,» Information Processing & Management, 2014.

J. Fernández, Y. Gutiérrez, J. M. Gómez, P. Martínez-Barco, A. Montoyo y R. Muñoz, «Análisis de sentimientos sobre tweets en castellano utilizando un algoritmo de ranking y skipgrams,» de TASS 2013, Madrid, 2013.

A. Montejo-Ráez , M. C. Díaz-Galiano, J. M. Perea-Ortega y L. A. Ureña-López, «Spanish knowledge base generation for polarity classification from masses,» de Proceedings of the 22nd international conference on World Wide Web companion, Ginebra, 2013.

M. D. Molina-González, E. Martínez-Cámara, M. T. Martín-Valdivia y L. A. Ureña-López, «Cross-Domain Sentiment Analysis Using Spanish Opinionated Words,» de 19th International Conference on Applications of Natural Language to Information Systems, Montpellier, 2014.

J. Villena Román, J. García Morera, E. Martínez Cámara y S. M. Jiménez Zafra, «TASS 2014 - The Challenge of Aspect-based Sentiment Analysis,» de TASS 2014, Madrid, 2014.

S. Brody y N. Elhadad., «An unsupervised aspect-sentiment model for online reviews,» de uman Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

A. Esuli y F. Sebastiani, «Sentiwordnet: A publicly available lexical resource for opinion mining,» de In Proceedings of LREC, 2006.

J. Redondo, I. Fraga, I. Padrón y M. Comesaña, «The Spanish adaptation of ANEW,» Behavior Research Methods, vol. 3, p. 39, 2007.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 TECCIENCIA