基于模糊集的社交网络用户情感分析的自然语言文本解析

2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS) Pub Date : 2015-12-01 DOI:10.1109/MEACS.2015.7414902

E. E. Luneva, V. S. Zamyatina, P. I. Banokin, S. V. Ivantsov

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引用次数: 9

摘要

本文介绍了一种基于模糊集的自然语言文本分析算法，用于社交网络用户情感评价。文中给出了实验数据，给出了文本解析算法的步骤，并对某一主题的消息进行了算法精度的计算。在Twitter社交网络的实验数据上验证了算法和技术的应用。

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Natural language text parsing for social network user sentiment analysis based on fuzzy sets

The article introduces natural language text parsing algorithm for social network user sentiment evaluation within proposed technique based on fuzzy sets. The paper contains experimental data and shows the steps of text parsing algorithm and calculation of algorithm accuracy on messages on a certain topic. Application of proposed algorithm and technique is demonstrated on experimental data from Twitter social network.

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2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)

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