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IDA
2010
Springer

Extraction of unexpected sentences: A sentiment classification assessed approach

8 years 12 months ago
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
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet,
Added 04 Mar 2011
Updated 04 Mar 2011
Type Journal
Year 2010
Where IDA
Authors Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet, Mathieu Roche
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