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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: 2016 Fifteenth Mexican International Conference On Artificial Intelligence (micai): Advances In Artificial Intelligence Título del capítulo: Non-human Subject as discriminating feature in Opinion Mining and Subjectivity Analysis
Opinion Mining and Sentiment Analysis rely on the Subjectivity Analysis.
Opinions and sentiments belong to a category known as private states:
things that can't be observed by another person different than the one
who is experiencing them. In this article, we will show a syntactic way
to detect and analyse subjective texts, specifically, opinions.
Syntactic subjects were closely studied inside 299 newspaper articles.
The subject of 202 subjective statements was analysed with the next
characteristics: level of abstraction, volition, humaneness, and the
relationship established with a verb inside the statement. The previous
process was made in order to find patterns in the constitution of the
subject in subjective statements. As a result of the analysis, we could
notice that non-human subjects increased the probability of the
statement to be a subjective one. This information can be used to
improve the detection of subjectivity in a text
