Feature-based opinion mining through ontologies

Peñalver-Martínez, Isidro; García‐Sánchez, Francisco; Valencia‐García, Rafael; Rodríguez-García, Miguel Ángel; Moreno, Valentín; Fraga, Anabel; Sánchez-Cervantes, José Luis

doi:10.1016/j.eswa.2014.03.022

Cited by 149 publications

(79 citation statements)

References 22 publications

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“…The main reasons for choosing this method was applicability to large global datasets, both from editorial content and SoMe, fast data processing and reduced risk of bias caused by human perceptions and interpretations (Matthes and Kohring, 2008). Also, the SoMe has increased its significance as a data provider, making it an excellent platform for analysing public attitudes (Peñalver-Martinez et al, 2014). By utilising a learning machine, the quantity of analysed media sources is increased significantly compared to traditional questionnaires and interviews, or other means of media analysis.…”

Section: Methodsmentioning

confidence: 99%

Exploring the social acceptance of biomass power

Nuortimo

Härkönen

Karvonen

2017

IER

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Public acceptance and positive media image are among the key features in technology market deployment aside any technical, legal and economic questions. The way technologies appear in various forms of media has a tendency to shape the public acceptance. This study analyses the media image of biomass power in order to understand the recent technology developments needed to overcome global warming. The media sentiment is analysed from both editorial and social media by using M-adaptive tool for media monitoring. The analysis covers three million social media platforms, hundred thousand news outlets in over seventy languages over 236 regions covering a vast number of data points. The results indicate that the public sentiment towards biomass power is more positive in editorial publications than in the social media. It appears that the increasing role of social media for public acceptance may need to be acknowledged in technology deployment issues.

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Section: Methodsmentioning

confidence: 99%

Exploring the social acceptance of biomass power

Nuortimo

Härkönen

Karvonen

2017

IER

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“…En cuanto al idioma español existe un solo trabajo [21] que afirma trabajar con este, pero no se comprueba en el artículo. En cuanto a la utilización de la ontología se usa un 50% como analizador de sentimientos y un 50% como extracción de aspectos.…”

Section: Tablaunclassified

“…Por ejemplo, han sido probadas para la detección de aspectos en [17] aportando sus estructuras semánticas al hallazgo de características precisas de las entidades de estudio. En otros trabajos como [18], [19], [20], [21] y [22] se han evidenciado la aplicación de ontologías para AS en comentarios en twitter, análisis de noticias financieras y opiniones de hoteles. En el contexto de esta propuesta, las ontologías consisten en especificaciones formales y explícitas que representan los conceptos de un determinado dominio y sus relaciones, es decir, son un modelo abstracto de un dominio, donde los conceptos utilizados están claramente definidos [23].…”

Section: Introductionunclassified

Las Ontologías para la detección automática de aspectos en el Análisis de Sentimientos

Miranda

Luna

2016

prospect

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RESUMENEn este artículo se analiza el papel de las ontologías en los sistemas de Análisis de Sentimientos a nivel de aspectos. El objetivo de la investigación es indagar sobre las técnicas que se han aplicado en sistemas de análisis de sentimientos donde se hayan utilizado ontologías ya sea para la extracción de los aspectos o determinación del sentimiento. Para lograr lo planeado se seleccionaron los trabajos más representativos de la literatura a través de una revisión sistemática en donde se identificaron algunos criterios comunes que permitieron un análisis comparativo de los trabajos versus los criterios. Los resultados obtenidos permiten dar las bases necesarias para el desarrollo de un modelo de análisis de sentimientos a nivel de aspectos para el español basado en ontologías.Palabras clave: Análisis de sentimientos; Minería de opiniones; Ontologías; PLN; Aspectos. ABSTRACTIn this paper the role of ontologies is discussed in aspects-level sentiment analysis. The objective of the research is to investigate techniques that have been applied in sentiment analysis systems where ontologies have been used either for the extraction of the aspects or determination of sentiment. For this were selected the most representative papers of literature through a systematic review where some common criteria are identified which they enabled a comparative analysis of the documents versus the criteria The results obtained provide the necessary for the development of a model of aspects-level sentiment analysis for the Spanish based on ontologies ..

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“…Vinodhini G et al [16] misclassification is reduced, and the classification accuracy of negative opinion to be improved. Isidro Penalver-Martinez et al [7] addressed the present challenges that ontologybased feature identification, and feature polarity identification. Alvaro Ortigosa et al [2] demonstrated to extract information from user messages and detect emotional changes.…”

Section: Discussed Challenges and Future Developments In Omsamentioning

confidence: 99%

“…Isidro Penalver-Martinez et al [7] presented an innovative method called ontology based opinion mining to improve the feature-based opinion mining by employing the ontologies in selection of features and to provide a new vector analysis-based method for sentiment analysis. The framework composed by four main modules namely, NLP module, Ontology-based feature identification module, polarity identification module, and opinion mining module.…”

Section: Opinion Mining Model For Ontologiesmentioning

confidence: 99%