![]() The Panas emotion scale developed by Wason et al. Readers' emotion algorithm, this study uses the relevant scale to investigate. The algorithm parameters take the data commonly used in wlda model, where 50 is equal to 0.01, and the number of keywords to judge the subject's emotional tendency is C, which is equal to 100. The emotion seed words used in the experiment are from the Chinese word set used for emotion analysis in the Internet HowNet. The corpus used in the experiment is Haruki Murakami's novel Norwegian forest. The wlda algorithm model is used to segment the data, remove the stop words, and then the algorithm is used to verify the emotional tendency of the novel. ![]() ![]() Using complex network is to preprocess the data, extract the information in the article by using word frequency statistics, then build a complex network according to word frequency, find out the key points of complex network according to the principle of structural hole, complex network, and analyze the emotional tendency to be expressed in the article. This paper uses complex network and wlda algorithm to analyze the mood of Norwegian forest. ![]()
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