Extraction of unexpected sentences: A sentiment classification assessed approach

Sentiment classification in text documents is an active data mining research topic in opinion retrieval and analysis. Different from previous studies concentrating on the development of effective classifiers, in this paper, we focus on the extraction and validation of unexpected sentences issued in sentiment classification. In this paper, we propose a general framework for determining unexpected sentences. The relevance of the extracted unexpected sentences is assessed in the context of text classification. In the experiments, we present the extraction of unexpected 1 

• Type: Journal
• Year: 2010
• Where: IDA
• Authors: Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet, Mathieu Roche
• Keywords: Extracted Unexpected Sentences, IDA 2010, Information Technology, Sentiment Classification, Unexpected Sentences