《哈利·波特》系列小说中主人公与反派及其情感识别的计算分析

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI:10.1109/AIST55798.2022.10065317

D. Tayal, Sonakshi Vij, Divya Arora, Bhavna Meena, P. Jain, Kritik Sharma

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引用次数: 0

摘要

情感分析的主要目标是找到文本的极性(积极或消极)。自然语言处理和计算文学研究一直对情感分析感兴趣，情感分析可以用来推断虚构人物之间的关系。本研究采用基于句子的语义分析方法对《哈利波特》系列小说中的情感进行分析。结果表明，在具有英雄属性的主要人物中，哈利·波特的正极性得分最高;伏地魔的负极性得分最高，赫敏的中性极性得分最高。

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Computation Analysis for Identifying the Protagonist and Antagonist and their Sentiments in Harry Potter Books

The main goal of sentiment analysis is to find the text polarity (positive or negative). Sentiment analysis can be Natural language processing and computational literary studies have long been interested in sentiment analysis, which can be used to infer relationships between fictional characters. This study uses sentence-based semantic analysis to analyze sentiment in the Harry Potter series. The findings showed that among the primary characters with heroic attributes, Harry Potter scored the most positive polarity; Voldemort scored the most negative polarity, and Hermoine scored the neutral polarity.

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2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)

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