基于模糊逻辑,自动评估社交网络用户的情绪

Elena E. Luneva, A. A. Yefremov, Pavel I. Banokin
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引用次数: 3

摘要

本文介绍了社交网络用户情感自动分析评价的方法。该方法的优点在于能够考虑用户的权限以及来自一个用户的多条消息的事实。作为情感分析的输入数据,与某一主题相关的信息。应用模糊逻辑算法对这些信息进行自动分析。尤其是在信息中包含模糊模糊的时候。本文给出了实验数据,展示了对特定主题的消息进行情感评价的计算步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Автоматизированная оценка эмоций пользователей социальных сетей на основе нечеткой логики
In the article the method of automated sentiment analysisevaluation of social network users is represented. The advantage of suggested method consists in ability taking into accountuser’s authority as well as the fact of several messages from one user. As input data for the sentiment analysis with respect to a certain topic is its relevant messages. Automated analysisof these messages is obtained with application of fuzzy logicalgorithms. Particularly when in messages contains fuzzyhedges. The paper presents experimental data showing the steps of calculation of the resulting sentiment evaluation ofmessages on a certain topic.
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来源期刊
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8 weeks
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