Research on micro-blog emotional tendency based on keyword extraction and dependency syntax
Zhang De-Yang, Yiliang Han, Xiaolong Li · 2018
Considering the existing research of the emotional analysis of the micro-blog based on key sentence, there is a problem that the quality of the extracted key sentence is not high. In this paper, a topic-related keyword extraction algorithm is proposed. Firstly, the key words are extracted as one of the characteristic functions to extract the key phrases. For the seven parts of speech collocations that affect the emotional tendencies, the calculation rules are improved, and then the key emotion values are calculated. Finally, extending the calculation of the emotional value of a sentence to the calculation of micro-blog's emotional value, and analysis of their emotional tendencies. Experiments show that the accuracy of the proposed method is improved by 6.23% compared with that of other algorithms. At the same time, the key words related to the topic account for a large proportion of the key sentences extracted, which solves the problem that the quality of key sentences is not high.