Exploiting Machine Learning for Comparative Sentences Extraction

Autor:	Wei Wang, Yong Dong Xu, Tie Jun Zhao, Guo Dong Xin
Rok vydání:	2015
Předmět:	Support vector machine General Computer Science Product reviews Computer science business.industry Artificial intelligence Machine learning computer.software_genre business Class (biology) computer Natural language processing Sentence
Zdroj:	International Journal of Hybrid Information Technology. 8:347-354
ISSN:	1738-9968
DOI:	10.14257/ijhit.2015.8.3.31
Popis:	This paper studies the problem of extracting Chinese comparative sentences from user reviews, which is a problem of text classification in the level of sentence. This paper first deals with the class skewed problem of review data, and then builds a SVM (support vector machine) model to classify comparative and non-comparative sentences into different groups on a balanced dataset. Various linguistic and statistical features are introduced to characterize a sentence. Experiments were conducted on user-generated product reviews. As a result, our experiments show significant performance, an overall Fscore of 85.87%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bb454810fda7c0a34f799b5141d92152 https://doi.org/10.14257/ijhit.2015.8.3.31 Zobrazit plný text záznamu