关键词: 观点词识别, 维度判别, 文本情感聚类

Abstract: In text sentiment analysis, the shortcoming of supervised machine learning methods is the large demand of labeled text dataset, while text clustering without supervision can overcome this problem. While saving data resource, sentiment clustering leads to another problem, which is the ambiguity sentiment result. This paper presents the formal description of the sentiment dimension, and uses the technology of opinion recognition for the discrimination of sentiment dimension. On this basis, by using acquired sentiment dimension, the sentiment of product review is clustered to effectively solve the uncertain problem of ambiguity sentiment result. The experimental results on 4 domains from Amazon online shopping reviews corpora show that proposed method is effective in the automatic identification of emotional dimension clustering, and gets satisfied results in the text emotional clustering.

Key words: opinion word identification, dimension identification, sentiment-based text clustering