Human computer interaction for sentiment analysis and opinion mining: A review

Saberi Goswamil, Jayanta Poray
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引用次数: 2

Abstract

Inspite of much emphasis in the field of man machine interface, very little has been established till date. Researchers have studied many ways of communication between man and machine using signals from human beings and machine to help them communicate with each other in an easier way. Brain signal is such an example which can be used on a system for a variety of purposes. This can be useful in the medical, cognitive science as well as technological field in a wider aspect. Therefore, keeping this in mind a system can be implemented which can solve some common problems related to the brain, by dealing with conversion of brain signals into useful formats to solve such problems. There are several approaches to find the sentiment (emotion) from the EEG signals such that machine can interpret the exact or near meaning of the sentiment. Here, we have studied such approaches and showed how these methods could be adopted for further enhancements in this domain.
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面向情感分析和意见挖掘的人机交互研究综述
尽管人机界面领域受到了很大的重视,但迄今为止建立起来的却很少。研究人员研究了许多人与机器之间的交流方式,利用人与机器之间的信号来帮助他们以更容易的方式相互交流。大脑信号就是这样一个例子,它可以在一个系统上用于各种目的。这在医学、认知科学以及更广泛的技术领域都是有用的。因此,记住这一点,可以实现一个系统,它可以解决一些与大脑有关的常见问题,通过处理大脑信号转换成有用的格式来解决这些问题。有几种方法可以从脑电图信号中找到情绪(情绪),从而使机器能够解释情绪的确切或近似含义。在这里,我们研究了这些方法,并展示了如何采用这些方法在该领域进行进一步增强。
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