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Sentiment Analysis for Reviews in Spanish: Algorithm for Handling the Negation

Samara Gretel Villalba-Osornio, Juan Andrés Pérez-Celis, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez
2015 Research in Computing Science  
The experiments show that handling the negation improves the accuracy in Spanish reviews in most cases.  ...  Sentiment Analysis (SA) is a challenging area where several problems still are open, one of them is treating the negation. Most of the research focusses on reviews written in English.  ...  Conclusions The algorithm proposed for handling the negation has a direct impact in the classification of Spanish reviews.  ... 
doi:10.13053/rcs-97-1-2 fatcat:hkjz22oh3fhfxjbpmuougk5fke

Aspect Based Sentiment Analysis of Spanish Tweets

Oscar Araque, Ignacio Corcuera, Constantino Román, Carlos Angel Iglesias, J. Fernando Sánchez-Rada
2015 Annual Conference of the Spanish Society for Natural Language Processing  
We would like to thank Maite Taboada as well as the rest of researchers for providing us their valuable lexical resources.  ...  Acknowledgement This research has been partially funded and by the EC through the H2020 project MixedEmotions (Grant Agreement no: 141111) and by the Spanish Ministry of Industry, Tourism and Trade through  ...  Vilares et al. (2014) present a system relying in machine learning classification for the tasks of sentiment analysis, and a heuristics based approach for aspect-based sentiment analysis.  ... 
dblp:conf/sepln/AraqueCRIS15 fatcat:gemhzrlksfbglohm54iuj7b2y4

Supervised Learning Approaches to Detect Negation Cues in Spanish Reviews

Lluís Domínguez-Mas, Francesco Ronzano, Laura I. Furlong
2019 Annual Conference of the Spanish Society for Natural Language Processing  
In this paper we present our participation to Sub-task A organized in the context of this Workshop, focusing on the detection of negation cues in Spanish product reviews.  ...  The Workshop on Negation in Spanish 2019 provides a forum to share investigations and compare methodologies dealing with the characterization of negation in Spanish texts.  ...  The participants of NEGES 2019 have been proposed two sub-tasks concerning the detection of negation cues (Sub-task A) and the assessment of the role of negation in sentiment analysis (Sub-task B).  ... 
dblp:conf/sepln/Dominguez-MasRF19 fatcat:7rosef5gefeczb2gpx2aofsb5i

Sentiment Analysis of News Articles in Spanish using Predicate Features

Antonio Tamayo, Julián Arias Londoño, Diego Burgos, Gabriel Quiroz
2019 Lenguaje  
This score outperformed the bag-of-words baseline in 12%. These results are promising considering that the sentiment analysis is performed on very complex texts written in Spanish.  ...  The current study tests sentence predicates as features to automatically determine the writer's stance in news articles.  ...  Lastly, Xia, Wang, Hu, Li, and Zong (2013) also present a methodology to handle negations for sentiment analysis.  ... 
doi:10.25100/lenguaje.v47i2.7937 fatcat:hxvurf7kync5llmtbsynyqqxhy

Negation Detection on Mexican Spanish Tweets: The T-MexNeg Corpus

Gemma Bel-Enguix, Helena Gómez-Adorno, Alejandro Pimentel, Sergio-Luis Ojeda-Trueba, Brian Aguilar-Vizuet
2021 Applied Sciences  
In this paper, we introduce the T-MexNeg corpus of Tweets written in Mexican Spanish. It consists of 13,704 Tweets, of which 4895 contain negation structures.  ...  We performed an analysis of negation statements embedded in the language employed on social media.  ...  cues detection, sentiment analysis, and the role of negation in sentiment analysis.  ... 
doi:10.3390/app11093880 doaj:aabcbb3275f84774a29fd5316c428436 fatcat:dzcyo2mp5fdajgnm7yz5zzbora

Sentiment Analysis in Twitter for Spanish [chapter]

Ferran Pla, Lluís-F. Hurtado
2014 Lecture Notes in Computer Science  
This paper describes a SVM-approach for Sentiment Analysis (SA) in Twitter for Spanish.  ...  This task was part of the TASS2013 workshop, which is a framework for SA that is focused on the Spanish language.  ...  This work has been funded by the projects, DIANA (MEC TIN2012-38603-C02-01) and Tímpano (MEC TIN2011-28169-C05-01).  ... 
doi:10.1007/978-3-319-07983-7_27 fatcat:gge46tjr6fb3tbs43ewyjhltly

A case study of Spanish text transformations for twitter sentiment analysis

Eric S. Tellez, Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma, Oscar S. Siordia, Elio A. Villaseñor
2017 Expert systems with applications  
Sentiment analysis is a text mining task that determines the polarity of a given text, i.e., its positiveness or negativeness.  ...  Along with these challenges, a practical sentiment classifier should be able to handle efficiently large workloads.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of this manuscript.  ... 
doi:10.1016/j.eswa.2017.03.071 fatcat:knrwe2l3sbadtdlikbodwo65de

Spanish sentiment analysis in Twitter at the TASS workshop

Ferran Pla, Lluís-F. Hurtado
2017 Language Resources and Evaluation  
TASS has become a framework for Sentiment Analysis tasks that is focused on the Spanish language. We describe our participation in this competition and the results achieved.  ...  This paper describes a Support Vector Machine-based system for different tasks related to the Sentiment Analysis problem in Twitter.  ...  Acknowledgements This work has been partially funded by the project ASLP-MULAN: Audio, Speech and Language Processing for Multimedia Analytics (MINECO TIN2014-54288-C4-3-R).  ... 
doi:10.1007/s10579-017-9394-7 fatcat:dmiyp6imljc2xglybyihtjys4e

The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets

David Vilares, Mike Thelwall, Miguel A. Alonso
2015 Journal of information science  
Sentiment in Twitter for key politicians broadly reflects the main official polls for popularity but not for voting intention.  ...  This article analyses the sentiment of 2,704,523 tweets referring to Spanish politicians and parties from a month in 2014-15.  ...  Thank you to the annotators for help with this research.  ... 
doi:10.1177/0165551515598926 fatcat:v6kskr4jj5cdja6pkoddeyvtee

AspectSA: Unsupervised system for aspect based sentiment analysis in Spanish

Carlos Henriquez Miranda, Edgardo Buelvas
2019 Prospectiva  
This paper describes an unsupervised system for sentiment analysis is presented in Spanish.  ...  The unsupervised approach used allows to extract, identify and sentiment classify, from the analysis of opinions in Spanish in a specific domain, allowing to scale to another language and domain with great  ...  For the above, interest in Aspect-Based Sentiment Analysis (ABSA) has grown in recent years [9] , being more active in the English language than in other languages such as Spanish, Chinese and Czech among  ... 
doi:10.15665/rp.v17i1.1961 fatcat:yir2ssh7onaqtjvelnhvwy2zyu

Universal, unsupervised (rule-based), uncovered sentiment analysis

David Vilares, Carlos Gómez-Rodríguez, Miguel A. Alonso
2017 Knowledge-Based Systems  
We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules.  ...  On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) the interpretability of their output, in contrast with most supervised models, which behave as a black box and (2  ...  We thank Roman Klinger for his help in obtaining the German data.  ... 
doi:10.1016/j.knosys.2016.11.014 fatcat:rjwmda6y7fej5gr6wizsy7gw3e

Comparing Deep-Learning Architectures and Traditional Machine-Learning Approaches for Satire Identification in Spanish Tweets

Óscar Apolinario-Arzube, José Antonio García-Díaz, José Medina-Moreira, Harry Luna-Aveiga, Rafael Valencia-García
2020 Mathematics  
Automatic satire identification can help to identify texts in which the intended meaning differs from the literal meaning, improving tasks such as sentiment analysis, fake news detection or natural-language  ...  However, as far as our knowledge goes, there are no comprehensive studies that evaluate these techniques in Spanish in the satire identification domain.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math8112075 doaj:b51bf8fa62114428b4085d8d27ef4f3b fatcat:zdvkhyavbjgqxppwke4ufx3m7m

Generic high-throughput methods for multilingual sentiment detection

Stefan Gindl, Arno Scharl, Albert Weichselbraun
2010 4th IEEE International Conference on Digital Ecosystems and Technologies  
Detecting sentiment expressed in user-generated electronic content is more challenging, especially in the case of digital ecosystems comprising heterogeneous sets of multilingual documents.  ...  This paper describes the use of language-specific grammar patterns and multilingual tagged dictionaries to detect sentiment in German and English document repositories.  ...  ACKNOWLEDGMENT The presented work is part of the RAVEN research project (Relation Analysis and Visualization for Evolving Networks; www.modul.ac.at/nmt/raven) funded by the Austrian Ministry of Transport  ... 
doi:10.1109/dest.2010.5610641 fatcat:asosqdgfyreidhf3fi3ie6chgy

Deep Learning Approach for Negation Handling in Sentiment Analysis

Prakash Kumar Singh
2021 IEEE Access  
Reference [5] performed detail analysis on the scope of negations in Spanish language and its impact in sentiment analysis on tweets.  ...  Importance of negation handling task in real world can be seen in sentiment analysis.  ... 
doi:10.1109/access.2021.3095412 fatcat:2ahp37prxfgv7cj3nju4jz3ese

Negation and Speculation in NLP: A Survey, Corpora, Methods, and Applications

Ahmed Mahany, Heba Khaled, Nouh Sabri Elmitwally, Naif Aljohani, Said Ghoniemy
2022 Applied Sciences  
In this article, we review the corpora annotated with negation and speculation in various natural languages and domains.  ...  Many English corpora for various domains are now annotated with negation and speculation; moreover, the availability of annotated corpora in other languages has started to increase.  ...  [31] investigated the problem of determining the polarity of sentiment in movie reviews when negation words occur.  ... 
doi:10.3390/app12105209 fatcat:jzm5hjhcqbbr5ck6cosat7n5zq
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