کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960671 1446503 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Extracting Product Features for Opinion Mining Using Public Conversations in Twitter
ترجمه فارسی عنوان
استخراج ویژگی های محصول برای نظر دادن به معادن با استفاده از مکالمات عمومی در توییتر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

The conversational element of Twitter has recently become of particular interest to the marketing community. However, most studies on mining product features through Twitter, have so far employed simple individual tweets rather than considering the whole conversations. In this paper, we empirically evaluate whether employing user interactions in public conversations can improve the product feature extraction from tweets. We propose a conversation-based method which considers a conversation as a reply tree and employs reply links, to effectively extract the product features involved in the messages. We also develop a conversation filtering process which combines scores measured from different aspects including content relevance and social aspects. We conducted our experiments using a manually annotated Twitter corpus involving smartphones and other electronics products. The experimental results show the effectiveness of our proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 112, 2017, Pages 927-935
نویسندگان
, , ,