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Listar por palabra clave "Opinion mining"

Mostrando ítems 1-11 de 11

A Knowledge-Based Model for Polarity Shifters

Blázquez-López, Yolanda (Universitat Politècnica de València, 2022-11-23)

[EN] Polarity shifting can be considered one of the most challenging problems in the context of Sentiment Analysis. Polarity shifters, also known as contextual valence shifters (Polanyi and Zaenen 2004), are treated as ...
Can Sentiments of Social Media Participants Reflect by Financial Market Liquidity

Saleemi, Jawad (Universitat Politècnica de València, 2024-07-26)

[ES] Esta tesis doctoral se enmarca en el área de investigación del Departamento de Economía y Ciencias Sociales, y se centra en la perspectiva conductual de la liquidez del mercado. La liquidez que varía en el tiempo y ...
Detecting Positive and Negative Deceptive Opinions using PU-learning

Hernández Fusilier, Donato; Montes Gómez, Manuel; Rosso, Paolo; Guzmán Cabrera, Rafael (Elsevier, 2015-07)

[EN] Nowadays a large number of opinion reviews are posted on the Web. Such reviews are a very important source of information for customers and companies. The former rely more than ever on online reviews to make their ...
DomainSenticNet: An Ontology and a Methodology Enabling Domain-aware Sentic Computing

Distante, Damiano; Faralli, Stefano; Rittinghaus, Steve; Rosso, Paolo; Samsami, Nima (Springer-Verlag, 2022-01)

[EN] In recent years, SenticNet and OntoSenticNet have represented important developments in the novel interdisciplinary field of research known as sentic computing, enabling the development of a variety of Sentic applications. ...
Improving Attitude Words Classification for Opinion Mining using Word Embedding

Ortega-Bueno, Reynier; Medina-Pagola, José E.; Muñiz-Cuza, Carlos Enrique; Rosso, Paolo (Springer-Verlag, 2019)

[EN] Recognizing and classifying evaluative expressions is an important issue of sentiment analysis. This paper presents a corpus-based method for classifying attitude types (Affect, Judgment and Appreciation) and attitude ...
Intelligent opinion mining and sentiment analysis using artificial neural networks

Stuart, Keith Douglas Charles; Majewski, Maciej (Springer Verlag (Germany): LNCS, 2015)

The article formulates a rigorously developed concept of opinion mining and sentiment analysis using hybrid neural networks. This conceptual method for processing natural-language text enables a variety of analyses of the ...
Introduction to the Special Section on Search and Mining User-Generated Content

Cortizo, J.C.; Carrero, F.; Cantador, Iván; Troyano, J.; Rosso ., Paolo (Association for Computing Machinery (ACM), 2012)

The primary goal of this special section of ACM Transactions on Intelligent Systems and Technology is to foster research in the interplay between Social Media, Data/Opinion Mining and Search, aiming to reflect the actual ...
Liquidity Risk and Investors' Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S&P500 Index

Guijarro, Francisco; Moya Clemente, Ismael; Saleemi, Jawad (MDPI AG, 2019-12-02)

[EN] Microblogging services can enrich the information investors use to make financial decisions on the stock markets. As liquidity has immediate consequences for a trader's movements, this risk is an attractive area of ...
TextMess 2.0: Las Tecnologías del Lenguaje Humano ante los nuevos retos de la comunicación digital

Martínez-Barco, Patricio; Ureña López, Luis Alfonso; Rosso, Paolo; Martí, Maria Antònia (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011)

[ES] El objetivo general de este proyecto se centra en el estudio, desarrollo y experimentación de diferentes técnicas y sistemas basados en Tecnologías del Lenguaje Humano (TLH) para el desarrollo de la próxima ...
Técnicas de procesamiento del lenguaje natural para la implementación de una editorial digital

Riscos García, Alejandra María (Universitat Politècnica de València, 2022-10-25)

[ES] Los modelos de negocio relativos al ocio como el cine o la televisión han reinventado las formas de distribuir sus servicios gracias a la optimización que le ha permitido el hacer uso de la información extraída a ...
Web Service SWePT: A Hybrid Opinion Mining Approach

Baca-Gomez, Yolanda Raquel; Martínez, Alicia; Rosso, Paolo; Estrada Esquivel, Hugo; Hernandez-Farias, Delia Irazu (Graz University of Technology, Institut für Information systems und Computer Medien (IICM), 2016)

[EN] The increasing use of social networks and online sites where people can express their opinions has created a growing interest in Opinion Mining. One of the main tasks of Opinion Mining is to determine whether an ...