Emotional Analysis and Comparison of Network Novel Review and Main Text

Tao Yan, Wenjun Hou
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Abstract

As the network grows in popularity, so does the popularity of network novels based on the network platform. Simultaneously, the network novel platform has amassed a huge number of network novels with unique network reviews-“Benzhangshuo”. The purpose of this article is to use text emotional analysis technology to extract and visualize emotional information in the main text and “Benzhangshuo”, as well as to assess their properties and their relationship. It can make recommendations for content development, retrieval channels, and network innovative recommendations. This study divides the emotion types in the network novel text and “Benzhangshuo” using an emotion analysis method based on an emotion dictionary. The experimental results demonstrate that the main text and “Benzhangshuo” in the popular novel Da Wang Rao Ming” have essentially the same emotion distribution principles, but the proportion of the two emotion distribution is different.
网络小说评论与正文的情感分析与比较
随着网络的普及,基于网络平台的网络小说也越来越受欢迎。同时,网络小说平台也积累了大量具有独特网络评论的网络小说——“本掌说”。本文的目的是利用文本情感分析技术对主文本和“本章说”中的情感信息进行提取和可视化,并评估它们的属性和关系。它可以为内容开发、检索渠道和网络创新推荐提供建议。本研究采用基于情感词典的情感分析方法对网络小说文本和《本章说》中的情感类型进行了划分。实验结果表明,通俗小说《大王饶明》中的主文本和“本章说”具有本质上相同的情感分布原则,但两者的情感分布比例不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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