Abstract
AbstractThe emotional connotation in ancient poetry is a valuable human spiritual culture, adopting the key semantic technique to parse the emotional word in poetry under different themes is beneficial to discover the relationship between poetry theme and emotion. In a “cold environment” (without learning corpus) of Tang poetry, this work presents, for the first time, the automatic recognition and analysis of large‐scale humanistic emotional words within ancient Chinese poetry from different themes. A “cold start” automatic citation method for character sequences is proposed to obtain the learning corpus. The best F1 and F1_distinct of trained BERT‐BiLSTM‐CRFs model respectively reach 96.27% and 86.04%. Deep learning expanded imagery words that convey emotion to realize knowledge discovery. The relationships between theme and emotion word show that Chinese poetry is good at using natural objects to express various sentiments to people, with each theme of poetry owns distinguished emotion feature.
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