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文本的情感倾向分析方法

he Method of Analyzing Affective Tendency in Text

中文摘要英文摘要

本篇论文介绍了一种针对中文文本的情感倾向进行评估的方法。首先对中文文本进行分词处理,标识出文本中带有情感色彩的词汇,然后将句子中带有情感色彩的词汇根据情感词词典进行标识,然后分析句子的结构。句子中各个元素情感值对句子的情感倾向有不同的贡献,因此需要对各个元素进行分析加权,得到句子的情感权值。使用的情感词词典是根据心理学模型建立的,每个情感词有两个维度:活跃度,愉悦度,每个词在每一个维度都有相应的权值,最终计算的文本的情感值也是二维的。本文实现了一个中文文本的情感倾向计算系统,系统由中文处理引擎和情感计算引擎组成,情感计算引擎包括情绪词标识功能,和一个句子规则集。通过对具有感情色彩的文本对系统进行了测试。

his paper introduces a method targeted at analyzing affective tendency of Chinese texts. First of all, Chinese texts are processed, and then affective words in texts are tagged with the affective words dictionary, and then sentence structure are analyzed. Affective values of the various elements of the sentences have different affective effect to the affective values of sentences; hence all affective elements for the affective values of sentences should be analyzed and weighted. The affective dictionary is based on psychology model, each word has two affective dimensions: activation value, pleasure value. Each word in every dimension has a corresponding value. The affective value of the text is two-dimensional. An affective tendency analyze system targeted at Chinese texts is realized, which consists of a Chinese processing engine and an affective analyzing engine. The affective tendency engine includes affective words identification function, and a rule set of sentences structure. Tests were carried out by using the affective texts.

宋光鹏

计算技术、计算机技术

情感计算,情感模型

affective computing,affective model

宋光鹏.文本的情感倾向分析方法[EB/OL].(2007-11-12)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200711-236.点此复制

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