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Tipo: conferenceObject
Título: Sentiment analysis domain based environment
Autor(es): Koblitz, Leonardo Falcão
Ebecken, Nelson
Resumo: In this article, the Sentiment Analysis, which main task is to understand the polarity of the opinions expressed in the documents, is used to obtain a better understanding of how people express themselves about a particular subject or domain. Such understanding is important because it may provide input in the formulation of policies and actions to be taken in relation to a product or service or to the perceptions related to issues or people. As more people put their thoughts and opinions on a variety of services available on the Web microblogging sites like Twitter, social networks and forums have become a common way for them to express themselves. There, they put in a spontaneous, free and in real time over different views on the issues. However, each domain or Internet service has its own peculiarities. Some jargon is specific to a domain. Certain slang or characteristics of services for people putting their opinions differ significantly, which undermines the use of machine learning systems previously developed for other domains. To validate the proposed methodology a corpus of nuclear texts was assembled, annotated and analyzed. After that, a system was developed to process these data. The results thus obtained provide important information on the identification of key stakeholders and the views expressed on what subjects. With this better understanding of the fears, prejudices and expectations of people regarding the nuclear area, new strategies can be traced to improve the perception of them as the nuclear area.
Palavras-chave: INAC 2011
Sentiment analysis
Nuclear area
Idioma: eng
País: Brasil
Editor: Instituto de Engenharia Nuclear
Sigla da Instituição: IEN
Tipo de Acesso: openAccess
Data do documento: Out-2011
Aparece nas coleções:Gestão do Conhecimento Nuclear - Trabalhos de Congresso

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