The features-based evolution of the opinions in forums using a semantic summarization approach

Dumitru-Clementin Cercel, Stefan Trausan-Matu
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Abstract

The consumers do not often express their opinions on the entity itself, but about its features. Our overall goal is represented by the visualization of the evolution of opinions in a collection of forums data, which simplifies the graph with messages that contain opinions. In the final graph, each node resulted from the aggregation of the opinions with the same polarity from the neighboring nodes contains the opinion polarity and words that give the respective polarity. For this purpose, in this paper we identify the features for a target entity, we search opinions about features and we analyze the opinion sentences. In the proposed solution, we adopt an approach to opinion summarization.
利用语义摘要的方法对论坛上的观点进行基于特征的演化
消费者通常不会对实体本身发表意见,而是对其特征发表意见。我们的总体目标是通过论坛数据集合中意见演变的可视化来表示,这简化了包含意见的消息的图形。在最终的图中,来自相邻节点的具有相同极性的意见聚合产生的每个节点包含意见极性和给出各自极性的单词。为此,本文对目标实体的特征进行识别,对特征进行意见搜索,并对意见句进行分析。在提出的解决方案中,我们采用了一种意见汇总的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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