کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4972643 | 1365428 | 2017 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
RubE: Rule-based methods for extracting product features from online consumer reviews
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: RubE: Rule-based methods for extracting product features from online consumer reviews RubE: Rule-based methods for extracting product features from online consumer reviews](/preview/png/4972643.png)
چکیده انگلیسی
Motivated by the role of product features in enabling personalized recommendations and marketing, this research aims to extract product features from online consumer reviews. Previous studies are dominated by statistical-based techniques or focused on subjective features that are associated with opinions. In this research, we propose RubE-unsupervised rule-based methods that extract both subjective and objective features from online consumer reviews. We identify objective features by incorporating part-whole relation and review-specific patterns. We extract subjective feature by extending double propagation with indirect dependency and comparative construction. The experiment results demonstrate that RubE significantly outperforms the state-of-the-art techniques for product feature extraction and is generalizable from search goods to experience goods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information & Management - Volume 54, Issue 2, March 2017, Pages 166-176
Journal: Information & Management - Volume 54, Issue 2, March 2017, Pages 166-176
نویسندگان
Yin Kang, Lina Zhou,