A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis

ACM Trans. Inf. Syst., Volume 35, Issue 1, 2016.

Cited by: 8|Views37
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Abstract:

This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most accurate assessment of sentiment in text. We call this automated process Human Reading for Sentiment (HRS). Previous re...More

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