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Sentiment analysis in text mining is a challenging task. Sentiment is subtly reflected by the tone and affective content of a writer’s words. Conventional text mining techniques, which are based on keyword frequencies, usually run short of accurately detecting such subjective information implied in the text. In this paper, we evaluate several popular classification algorithms, along with three filtering...
Sentiment analysis in text mining is known to be a challenging task. Sentiment is subtly reflected by the tone, affective state or emotion of a writer's expression in words. Conventional text mining techniques which are based on keyword frequency counting usually run short of accurately detecting such subjective information implied in the text. In this paper we evaluated several popular classification...
The challenge of sentiment analysis consists in automatically determining whether a text is positive or negative in tone. Part of the difficulty in this task stems from the fact that the same words or sentences can have very different sentimental meaning given their context. In our work, we further focus on news articles, which tend to use a more neutral vocabulary, as opposed to the emotionally charged...
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