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Domain Adaptation of Polarity Lexicon combining Term Frequency and Bootstrapping

Salud María Jiménez-Zafra, Maite Martin, M. Dolores Molina González, L. Alfonso Urena Lopez
2016 Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
In this paper we study several approaches to adapting a polarity lexicon to a specific domain.  ...  On the one hand, the domain adaptation using Term Frequency (TF) and on the other hand, the domain adaptation using pattern matching with a BootStrapping algorithm (BS).  ...  Acknowledgments This work has been partially supported by a Grant from the Ministerio de Educación, Cultura y Deporte (MECD -scholarship FPU014/00983) and REDES project (TIN2015-65136-C2-1-R) from the  ... 
doi:10.18653/v1/w16-0422 dblp:conf/wassa/ZafraMML16 fatcat:f7vbtp6t4jbtfiuec5xyx52rwy

A syntactic approach for opinion mining on Spanish reviews

2013 Natural Language Engineering  
to adapt the semantic orientation of their words to a particular field.  ...  We also propose a semi-automatic domain adaptation method to improve the accuracy of our system in specific application domains, by enriching semantic dictionaries using machine learning methods in order  ...  We would like to thank Maite Taboada for giving us access to SODictionariesV1.11Spa.  ... 
doi:10.1017/s1351324913000181 fatcat:rwsglrdofngnbbwtndplrz4kba

Supervised polarity classification of Spanish tweets based on linguistic knowledge

David Vilares, Miguel Ángel Alonso, Carlos Gómez-Rodríguez
2013 Proceedings of the 2013 ACM symposium on Document engineering - DocEng '13  
We describe a system that classifies the polarity of Spanish tweets. We adopt a hybrid approach, which combines machine learning and linguistic knowledge acquired by means of nlp.  ...  We use part-of-speech tags, syntactic dependencies and semantic knowledge as features for a supervised classifier.  ...  Lastly, we provide an automatic mechanism to enrich and adapt semantic knowledge to a specific domain.  ... 
doi:10.1145/2494266.2494300 dblp:conf/doceng/VilaresAG13 fatcat:3ii4mx6n2bg4hd7javgkyld4jq

COPOS: Corpus Of Patient Opinions in Spanish. Application of Sentiment Analysis Techniques

Flor Miriam Plaza del Arco, María Teresa Martín-Valdivia, Salud M. Jiménez Zafra, M. Dolores Molina-González, Eugenio Martínez Cámara
2016 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
In order to demonstrate the validity of the corpus presented, we have also carried out different experiments with the main methodologies applied in polarity classification (Semantic Orientation and Machine  ...  According to a study in 2015, 62% of Spanish people access the Internet in order to be informed about topics related to health.  ...  Acknowledgements This work has been partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER), REDES project (TIN2015-65136-C2-1-R) from the Spanish Government and by a Grant  ... 
dblp:journals/pdln/ArcoMZMC16 fatcat:275mxth2lbdxfg6pw2wlopf6ea

Cross-Linguistic Sentiment Analysis: From English to Spanish

Julian Brooke, Milan Tofiloski, Maite Taboada
2009 Recent Advances in Natural Language Processing  
We explore the adaptation of English resources and techniques for text sentiment analysis to a new language, Spanish.  ...  Our main focus is the modification of an existing English semantic orientation calculator and the building of dictionaries; however we also compare alternate approaches, including machine translation and  ...  Acknowledgments This work was supported by a NSERC Discovery Grant (261104-2008) to Maite Taboada.  ... 
dblp:conf/ranlp/BrookeTT09 fatcat:4q5f354cfnahnfcumzlp3zh3zm

On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages

David Vilares, Miguel A. Alonso, Carlos Gómez-Rodríguez
2015 Journal of the Association for Information Science and Technology  
This article explores how relating lexical, syntactic and psychometric information can be helpful to perform polarity classification on Spanish tweets.  ...  In this context, polarity classification is a subfield of sentiment analysis focussed on determining whether the content of a text is objective or subjective, and in the latter case, if it conveys a positive  ...  For this purpose, Batista and Ribeiro (2013) employ a cascade of binary maximum entropy classifiers for multiple polarity classification for the Spanish language.  ... 
doi:10.1002/asi.23284 fatcat:homckuzndfg35beujkghyn5vvi

Unsupervised Word Polarity Tagging by Exploiting Continuous Word Representations

Aitor García Pablos, Montse Cuadros, German Rigau
2015 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Un lexicón de polaridad es un diccionario que asigna un valor predeteminado de polaridad a una palabra.  ...  En este trabajo exploramos la posibilidad de generar de manera automática lexicones de polaridad adaptados a un dominio usando representaciones continuas de palabras, en concreto la popular herramienta  ...  Being a general resource, Word-Net also fails to capture domain dependent semantic orientations.  ... 
dblp:journals/pdln/PablosCR15 fatcat:cqii7aymtjgt7gcrjlxofzi7ky

DAEDALUS at RepLab 2012: Polarity Classification and Filtering on Twitter Data

Julio Villena-Román, Sara Lana-Serrano, Cristina Moreno, Janine García-Morera, José Carlos González Cristóbal
2012 Conference and Labs of the Evaluation Forum  
Our approach is based on 1) the information provided by a semantic model that includes rules and resources annotated for sentiment analysis, 2) a detailed morphosyntactic analysis of the input text that  ...  allows to lemmatize and divide the text into segments to be able to control the scope of semantic units and perform a finegrained detection of negation in clauses, and 3) the use of an aggregation algorithm  ...  : Towards a semantic adaptation of multi-network-multiterminal digital media (CEN-20091026).  ... 
dblp:conf/clef/Villena-RomanLMGC12 fatcat:mspxc72dlbg5xolbcwrkoqt7be

Sentiment analysis algorithms and applications: A survey

Walaa Medhat, Ahmed Hassan, Hoda Korashy
2014 Ain Shams Engineering Journal  
This survey paper tackles a comprehensive overview of the last update in this field.  ...  These articles are categorized according to their contributions in the various SA techniques.  ...  Semantic orientation of a word is a statistical approach used along with the PMI method.  ... 
doi:10.1016/j.asej.2014.04.011 fatcat:ajcv3q7t4zct3cfeg2iex6lnui

UNED Online Reputation Monitoring Team at RepLab 2013

Damiano Spina, Jorge Carrillo de Albornoz, Tamara Martín-Wanton, Enrique Amigó, Julio Gonzalo, Fernando Giner
2013 Conference and Labs of the Evaluation Forum  
Finally, the polarity subtask was tackled by following the approach presented in [14] to generate domain specific semantic graphs in order to automatically expand the general purpose lexicon SentiSense  ...  We next use the domain specific sub-lexicons to classify tweets according to their reputational polarity, following the emotional concept-based system for sentiment analysis presented in [8] .  ...  This research was partially supported by the Spanish Ministry of Education (FPU grant nr AP2009-0507 and FPI grant nr BES-2011-044328), the Spanish Ministry of Science and Innovation (Holopedia Project  ... 
dblp:conf/clef/SpinaAMAGG13 fatcat:mtyin6xg25elxnmahw7spzim7u

UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource

Reynier Ortega Bueno, Adrian Fonseca Bruzón, Carlos Muñiz Cuza, Yoan Gutiérrez, Andres Montoyo
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
In this paper we present our contribution to SemEval-2014 Task 4: Aspect Based Sentiment Analysis (Pontiki et al., 2014) , Subtask 2: Aspect Term Polarity for Laptop domain.  ...  The most outstanding feature in this contribution is the automatic building of a domain-depended sentiment resource using Latent Semantic Analysis.  ...  de la información para la ayuda a la toma de decisiones" (GRE12-44), ATTOS (TIN2012-38536-C03-03), LEGOLANG (TIN2012-31224), SAM (FP7-611312), FIRST (FP7-287607) and ACOMP/2013/067.  ... 
doi:10.3115/v1/s14-2137 dblp:conf/semeval/BuenoBCGM14 fatcat:kzlhla2jvbdzhh4nv3y4ljih2u

Identifying Polarity in Financial Texts for Sentiment Analysis: A Corpus-based Approach

Antonio Moreno-Ortiz, Javier Fernández-Cruz
2015 Procedia - Social and Behavioral Sciences  
In this paper we describe our methodology to integrate domain-specific sentiment analysis in a lexicon-based system initially designed for general language texts.  ...  to obtain sentiment-bearing words whose polarity is domain-specific.  ...  Appendix A. Samples Day, P. (2014, January 23  ... 
doi:10.1016/j.sbspro.2015.07.451 fatcat:wv5c4vykdrcurbqkdhwzbzg3he


K. Venkata Raju
2017 International Journal of Advanced Research in Computer Science  
Sentiment Analysis(SA) persist to be a most significant research problem due to its immense applications, recognize the sentiment orientation of terms of sentiment which is the sentiment analysis fundamental  ...  Sentiment Analysis is a computational treatment of opinions and subjectivity of text focuses on either short/long range syntactic or semantic dependencies.  ...  These are segregated into corpus and dictionary based approaches, the corpus based approach uses semantic and statistical method to find sentimental polarity.  ... 
doi:10.26483/ijarcs.v8i7.4448 fatcat:o5anrkuknvdzfdn6275zdeyrsa

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou
2016 Cognitive Computation  
Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results.  ...  We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data.  ...  [44] proposed a new approach for semisupervised German-language sentiment polarity classification.  ... 
doi:10.1007/s12559-016-9415-7 pmid:27563360 pmcid:PMC4981629 fatcat:pr63qqnvazfjll6bakqtlupfj4

Lexicon-Based Sentiment Analysis of Twitter Messages in Spanish

Antonio Moreno-Ortiz, Chantal Pérez Hernández
2013 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
En este trabajo llevamos a cabo tal evaluación de rendimiento con la herramienta Sentitext, un sistema de análisis de sentimiento del español.  ...  Estos sistemas han demostrado un rendimiento similar a los sistemas estadísticos, con la ventaja de no requerir un conjunto de datos de entrenamiento.  ...  to produce a system for measuring the semantic orientation of texts, which they call SO-CAL(culator) .  ... 
dblp:journals/pdln/OrtizH13 fatcat:4kbc6ustgba2pmcercejiigudy
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