关键词: 语义分割, 情感分析, 条件随机场模型

Abstract: This paper presents a model for analyzing polarity of texts based on semantic segmentation. In accordance with the characteristic of text structure, the text is divided into several semantic paragraphs based on semantic similarity. Conditional random fields model is used to extract the contents of subjective and identify polarity of sentiment in every semantic paragraph, and the weight of each semantic paragraph is calculated. So the sentiment of text is determined by weights and values of polarity of semantic paragraph. Experiments show that compared with traditional machine learning methods, this method can improve the accuracy of text sentiment analysis.

Key words: semantic segmentation, sentiment analysis, conditional random model