A multi-stage method for content classification and opinion mining on weblog comments

Alfaro, Cesar; Cano-Montero, Javier; Gómez, José Manuel López; Moguerza, Javier M.; Ortega, Felipe

doi:10.1007/s10479-013-1449-6

Cited by 51 publications

(28 citation statements)

References 13 publications

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“…This proposal uses a Spanish corpus (Muchocine) of movie reviews along with its parallel corpus translated into English. Reference [33] exposes how to combine supervised machine learning algorithms and unsupervised learning techniques for automatic detection of different opinion trends. The proposal has been tested in real textual data available from the comments introduced in a weblog connected to administrative issues in a public education institution.…”

Section: Resultsmentioning

confidence: 99%

A review of Sentiment Analysis in Spanish

Miranda

Guzmán²

2016

TECCIENCIA

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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: Artificial Intelligence, Opinion Mining, Sentiment Analysis, NLP, Emotion Analysis ResumenEl análisis de sentimiento ha mostrado una alta tendencia de investigación en los últimos dos años debido a la producción a gran escala de opiniones y comentarios por parte de usuarios activos en la Internet. Las empresas y organizaciones, en general, están interesadas en conocer cuál es la reputación que tienen de sus usuarios en las redes sociales, blogs, wikis y otros sitios Web. Hasta ahora, la gran mayoría de trabajos de investigación involucran sistemas de AS en inglés. Por este motivo, la comunidad científica está interesada en trabajos diferentes a este lenguaje. Este artículo busca dar una breve perspectiva del estado actual del análisis de sentimientos en español.

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Section: Resultsmentioning

confidence: 99%

A review of Sentiment Analysis in Spanish

Miranda

Guzmán²

2016

TECCIENCIA

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“…Through the analysis of words, punctuation and emoticons collected from social media (such as Twitter), blogs, forums, online reviews, responses to messages from consumers, it is possible to evaluate the positive or negative opinions, their intensity, their emotionalism content and the relevance of the object of analysis with respect to the context (see, e.g. Tetlock, 2007;Loughran and McDonald, 2011;Price et al, 2012;Garcia, 2013;Bao and Datta, 2014;Alfaro et al, 2016). A complete methodological review of text mining applications for financial purposes can be found in Kumar and Ravi (2016), it contains relevant studies with sentiment analysis applications.…”

Section: Recent Contributions Likementioning

confidence: 99%

The interconnectedness of the economic content in the speeches of the US Presidents

Cinelli¹,

Ficcadenti²,

Riccioni³

2019

Ann Oper Res

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The speeches stated by influential politicians can have a decisive impact on the future of a country. In particular, the economic content of such speeches affects the economy of countries and their financial markets. For this reason, we examine a novel dataset containing the economic content of 951 speeches stated by 45 US Presidents from George Washington (April 1789) to Donald Trump (February 2017). In doing so, we use an economic glossary carried out by means of text mining techniques. The goal of our study is to examine the structure of significant interconnections within a network obtained from the economic content of presidential speeches. In such a network, nodes are represented by talks and links by values of cosine similarity, the latter computed using the occurrences of the economic terms in the speeches. The resulting network displays a peculiar structure made up of a core (i.e. a set of highly central and densely connected nodes) and a periphery (i.e. a set of non-central and sparsely connected nodes). The presence of different economic dictionaries employed by the Presidents characterize the core-periphery structure. The Presidents' talks belonging to the network's core share the usage of generic (non-technical) economic locutions like "interest" or "trade". While the use of more technical and less frequent terms characterizes the periphery (e.g. "yield"). Furthermore, the speeches close in time share a common economic dictionary. These results together with the economics glossary usages during the US periods of boom and crisis provide unique insights on the economic content relationships among Presidents' speeches.

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“…Para ello, se utiliza la metodología propuesta en (Alfaro et al, 2016). Se trata de una metodología multietapa para la categorización de mensajes y minería de opiniones, combinando métodos de aprendizaje supervisado y no supervisado, como se ilustra en la Figura 1.…”

Section: Módulo Colaborativounclassified

“…Fuente: Alfaro et al, 2016. methaodos.revista de ciencias sociales, 2016, 4 (2): 274-290 ISSN: 2340 César Alfaro y Javier Gómez 285 La metodología de clasificación propuesta se divide en tres etapas:…”

Section: Módulo Colaborativounclassified

Un sistema de indicadores para la medición, evaluación, innovación y participación orientado a la Administración Pública

Alfaro

Gómez

2016

m.rcs

Self Cite

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ResumenDurante los últimos años la sociedad está demandando que las Administraciones Públicas trabajen con eficiencia y transparencia y que afronten sus actuaciones con un enfoque de gestión abierto a la evaluación y a la rendición de cuentas. El avance de las nuevas tecnologías posibilita la aparición de novedosos canales de participación ciudadana más dinámicos, abiertos y transparentes. En este artículo presentamos una aproximación a un sistema de indicadores para la medición, evaluación, innovación y participación orientado a la Administración Pública. El sistema está enfocado a un modelo colaborativo que fomente la participación ciudadana y promueva la innovación social.Palabras clave: innovación social, nuevas tecnologías, participación ciudadana, sistema de indicadores. AbstractOver the last years, disappointment with government handling of issues has motivated efforts to improve the transparency, openness of government and accountability of public institutions. Recent developments in information and communication technology (ICT) provide real opportunities for citizens to participate more widely, simply and transparently in decision making processes. In this paper we present an approach to a framework of indicators for evaluation, accountability, innovation and participation. The proposed system is based on a collaborative model that encourages citizen participation and promotes social innovation.

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A multi-stage method for content classification and opinion mining on weblog comments

Cited by 51 publications

References 13 publications

A review of Sentiment Analysis in Spanish

A review of Sentiment Analysis in Spanish

The interconnectedness of the economic content in the speeches of the US Presidents

Un sistema de indicadores para la medición, evaluación, innovación y participación orientado a la Administración Pública

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