Emotion recognition method of Tibetan micro-blog text based on sentiment dictionary
Abstract
With the development of network technology, social media represented by micro-blog has become an important platform for personal emotional expression. Automatic analysis of micro-blog texts and identification of their emotions is important for understanding people’s emotions. In this paper, the emotion of Tibetan micro-blog text is analyzed automatically for the first time, the emotion in text expression is recognized, the analysis method based on Tibetan sentiment dictionary and rules is put forward, and the language characteristics of emotion expression in Tibetan micro-blog are discussed. The experimental results show that the accuracy of emotion recognition based on Tibetan sentiment dictionary reaches 78.6%, which provides a basis for establishing a high-precision Tibetan textual sentiment classification system.
- Publication:
-
Journal of Physics Conference Series
- Pub Date:
- October 2019
- DOI:
- 10.1088/1742-6596/1314/1/012182
- Bibcode:
- 2019JPhCS1314a2182S