A survey on textual emotion cause extraction in social networks

• DOI: 10.1016/j.dcan.2024.07.004
• Publication Date: 2024-07-31T17:09:30Z
• Authors: Sancheng Peng; Lihong Cao; Guojun Wang; Zhouhao Ouyang; Yongmei Zhou; Shui Yu
• Keywords: TRACE (psycholinguistics); Sentiment Analysis; Emotion detection

With the rapid development of web technology, Social Networks (SNs) have become one most popular platforms for users to exchange views and express their emotions. More more people are used commenting on a certain hot spot in SNs, resulting large amount texts containing Textual Emotion Cause Extraction (TECE) aims automatically extract causes emotion texts, which is an important research issue natural language processing. It different from previous tasks recognition classification. In addition, it not limited shallow-level classification text, but trace source. this paper, we provide survey TECE. First, introduce process Then, discuss existing methods key factors Finally, enumerate challenges developing trend