Emotion intensity detection for social media data

Sonia Xylina Mashal, K. Asnani
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引用次数: 13

Abstract

Social networking sites, blogs and many more informal texting sites have taken a center stage in our lives, and in this informal messages we tend to show a lot of emotions towards a certain social cause or towards friends. Quite impressive work is done in emotion analysis or emotion classification area, but we require algorithms to identify emotion strength/intensity from informal and short text messages. Emotion intensity from a short text can help us in identifying the degree of emotion in a sentence belonging to the same emotion category. This paper proposes a novel idea for solving the problem of identification of emotion intensity from social media data.
社交媒体数据的情感强度检测
社交网站、博客和许多非正式的短信网站已经占据了我们生活的中心舞台,在这些非正式的信息中,我们倾向于对某种社会事业或对朋友表现出很多情绪。在情感分析或情感分类领域已经完成了相当令人印象深刻的工作,但我们需要算法从非正式和短文本信息中识别情感强度/强度。短文本的情感强度可以帮助我们识别句子中属于同一情感类别的情感程度。本文提出了一种从社交媒体数据中识别情感强度问题的新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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