基于模糊信息粒化的情感句子识别研究

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI:10.1109/CIS.2017.00033

Qiong Shen, Bin Gui, Jianlin Zhu

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引用次数: 0

摘要

提出了一种基于模糊信息粒化的情感句识别方法。首先，对微博句子训练集进行必要的工作，包括分词、停词等。构造特征向量，计算特征的权重。对W. Pedrycz提出的模糊信息粒化算法进行改进，最后改进后的模糊信息粒化算法学习分类模型，并在测试集上验证分类模型的性能。实验表明，该方法具有良好的识别性能。

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Research on Identifying Emotion Sentence Based on Fuzzy Information Granulation

We put forward a method based on fuzzy information granulation to solve the problem of identifying the emotional sentence. Firstly, the necessary work is carried out on the microblogging sentence training set, including the word segmentation, stop words and so on. The feature vector is constructed and the weight of the feature is calculated. The fuzzy granulation algorithm proposed by W. Pedrycz is improved, and finally the improved the fuzzy information granulation algorithm learns the classification model and verifies the performance of the classification model on the test set. The experiment shows that this method has good recognition performance.

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2017 13th International Conference on Computational Intelligence and Security (CIS)

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