Clause-Based Approach to Extracting Problem Phrases from User Reviews of Products
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This paper describes approaches to problem-phrase extraction from user reviews of products. The first step in problem extraction is to separate sentences with problems from all others. We propose two methods to problem extraction from such sentences: (i) a straightforward algorithm that does not split sentence into clauses and (ii) an improved clause-based algorithm. We claim that both approaches improve the classification performance compared to machine-learning algorithms.
KeywordsText classification Information extraction
We are grateful to Valery Solovyev and Sergey Serebryakov for their support of this research, useful discussions and help with our approaches. We are grateful to the Program Committee members who provided constructive review comments. This work was partially supported by Russian Ministry of Education and Science (project number: 3056, “Semantic web technologies and linguistic databases: annotation, information extraction and retrieval”).
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