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Previous approaches of emotion recognition from text were mostly implemented under keyword-based or learning-based frameworks. However, keyword-based systems are unable to recognize emotion from text with no emotional keywords, and constructing an emotion lexicon is a tough work because of ambiguity in defining all emotional keywords. Completely prior-knowledge-free supervised machine learning methods...
Emotion plays a significant role in human communications in our daily life. With progress in human-machine interface technology, recent research has placed more emphasis on the recognition of emotion reaction. Comparing to some other ideal experimental settings, blog posts online would be respond more to real-world events. And a huge resource of text-based emotion can be found from the World Wide...
Recently, emotion recognition with computer has attracted a great deal of attention to researchers for its broad applications. Emotion estimation from textual input has also become active as natural language processing (NLP) technology develops. However, when it comes to negative sentences in Chinese, the original emotion estimation may be reversed which makes obtaining correct recognition results...
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