کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1123293 | 1488532 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Aspect Identification of Sentiment Sentences Using A Clustering Algorithm
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موضوعات مرتبط
علوم انسانی و اجتماعی
علوم انسانی و هنر
هنر و علوم انسانی (عمومی)
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چکیده انگلیسی
Reviews contain aspect information of a product, such as “image quality” and “usability” of a camera. In this paper, we propose an aspect identification method for sentiment sentences in review documents. Machine learning methods usually require a large amount of training data for generating a classifier with high accuracy. However, preparing training data by hand is costly. To solve this problem, we apply a clustering approach to the aspect identification method. Our system acquires new training data from non-tagged data by using the clustering approach. As compared with a baseline method, which does not use the acquisition approach, our method obtained high accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia - Social and Behavioral Sciences - Volume 27, 2011, Pages 22-31
Journal: Procedia - Social and Behavioral Sciences - Volume 27, 2011, Pages 22-31