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Audio Opinion Mining and Sentiment Analysis of Customer Product or Services Reviews

机译:客户产品或服务评论的意见收集和情感分析

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Sentimental analysis evolved over last few decades is only focused on textual sentimental analysis. Recent development in the Internet has opened the new doors for information exchange and growth for citizens to publicly raise their opinions with serious bottlenecks when it comes to do analysis of these opinions in terms of sentiments of the users. Even urgency to gain a real time understanding of citizens concerns has grown very rapidly. Since, the viral nature of the media which is fast and distributed one, some issues get rapidly distributed and unpredictably become important through this word of mouth opinions expressed online. In this paper, we proposed the audio opinion mining and sentiment analysis of customer products or services reviews which helps to take decision in today's business world to improve their growth of the business. Customer discrimination and sentiment analysis is performed on customer reviews collected as audio messages on customer products or services.
机译:在过去几十年中发展起来的情感分析仅集中于文本情感分析。互联网的最新发展为信息交换和发展打开了新的大门,使公民可以在根据用户的情感分析这些意见时公开提出严重的瓶颈意见。甚至迫切需要获得对公民关注的实时了解的迅速增长。由于媒体的快速传播是一种病毒式传播,一些问题迅速传播,并且通过在线表达的这种口口相传,不可预测地变得很重要。在本文中,我们提出了对客户产品或服务评论的音频意见挖掘和情感分析,这有助于在当今的商业世界中做出决策,以改善他们的业务增长。客户歧视和情感分析是根据作为客户产品或服务的音频消息收集的客户评论执行的。

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