A Proposal for Efficient Automatic Summarization of Online Product Reviews

被引：0
|
作者：
Das, Subha Jyoti [1 ]
Chakraborty, Basabi [2 ]
机构：
[1] Iwate Prefectural Univ, Grad Sch Software & Informat Sci, Takizawa, Japan
[2] Iwate Prefectural Univ, Fac Software & Informat Sci, Takizawa, Japan
来源：
PROCEEDINGS OF THE WORKSHOP PROGRAM OF THE 19TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN'18) | 2018年
关键词：
ACM proceedings; LATEX; text tagging;
D O I：
10.1145/3170521.3170546
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A popular application of social data mining is sentiment detection or opinion analysis of consumer products or social events. In this work, a proposal for automatic summarization of a set of online review data on a particular consumer product is outlined so that the overall quality of the product can be assessed without going through all the reviews manually one by one. In this approach the most discussed aspects of the products will be highlighted in a constructed manner.
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页数：2
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