Narrowing the Social Gap among People Involved in Global Dialog: Automatic Emotion Detection in Blog Posts
نویسندگان
چکیده
In this paper, we introduce a new approach to automatic emotion detection in blog posts. The purpose of our research is to develop an effective tool for recognition and interpretation of affect conveyed through written language. The main idea behind the proposed rule-based algorithm is to determine the prevailing emotion in each sentence of diary-like entry and to display the dynamics of emotion changes throughout the whole document by using simplified emotional faces.
منابع مشابه
Automatic Emotion Identification from Text
Wang, Wenbo. Ph.D., Department of Computer Science and Engineering, Wright State University, 2015. Automatic Emotion Identification from Text. Peoples emotions can be gleaned from their text using machine learning techniques to build models that exploit large self-labeled emotion data from social media. Further, the self-labeled emotion data can be effectively adapted to train emotion classifie...
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