中文文本情感主题句分析与提取研究

提出一种提取中文文本情感主题句子的方法。首先评估文本中语义概念的概括和归纳能力，确定文本主题概念。将包含主题概念的句子作为候选主题句子，计算各个候选句子的重要度，最终确定文本主题句。然后采用条件随机场模型，选取情感倾向特征和转移词特征训练模型，从文本主题句集合中提取情感主题句。实验证明，以提出的方法为基础进行文本情感分析，避免了与主题无关的句子对分析结果的影响，有效地提高了文本情感分析的准确率。

Extraction of sentiment topic sentences of Chinese texts

This paper proposed a method of extracting sentiment topic sentences. Firstly semantic concepts of a text were evaluated in order to determine which concepts were related to the topic of a text. And the concepts related to the topic were regarded as topic concepts. Sentences including one or more topic concepts were defined as candidate sentences. Significance of every candidate sentences was calculated in order to which ones were topic sentences in the text. Conditional random field model was adopted and two kinds of feature were used in the model training, and one feature was polarity of sentiment and the other feature was transferring words. This approach excluded sentences that were not related to the topic of the text, and eliminated the influence brought by these sentences. Therefore, precision of sentiment analysis is effectively improved.