Non-Bipolar Sentiment Assessment of Text Reviews

Keerthana B. Chigateri, Rekha Bhandarkar
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Abstract

With the evolution and blooming of Internet, an indeterminately great number of mankind devote their time profusely for browsing, especially on social media. Public share their perspective in the form of opinions about various entities like ongoing affairs or a particular locality or their shopping experience etc. in internet. In the early stages, individuals practiced writing mode for this motive. But gradually accounting the headway made by technology the channel broadened from text to other diverse modes to convey their opinions like images, audio, video. These means were well received and prevailed so far. Because simple movements of face and pictures convey treasure of information. The voice tune changes along with the change in opinion. Thus these mediums are more descriptive than text. These feelings and conceptions exhibit their sentiments which shape the public opinion. Opinions are usually based on knowledge or experience. It is more concrete whereas Sentiments are feelings one feels about something. An Opinion is composed of Sentiment(s). A particular or group of sentiments leads to a concrete Opinion. Though these two terms are used interchangeably, these two terms are very close but slightly differ in their meanings. People express their held sentiments about an entity socially. A general opinion can be derived or extracted from these sentiments. These Sentiments collectively shape a particular Opinion like positive, negative or neutral which in turn impact and aids other customers, traders, or society in deciding their deals. Additionally, many trends keep recreating dynamically. With this rate of advancement, people keep refreshing their approaches and practices. Hence their sentiments. Thus, these sentiments propagate to others via social media. In the meantime, the pertinent authority can adapt to these changes before the change signals the call and grow wider every day and thus stay connected with customers. Apart from customers, they must be knowledgeable globally with surfacing trends and challenges, new needs and envision the demands. Accordingly, the sentiments circulate swiftly in online system]. But the exiting work on social network sentiment is just to distinguish the sentiment polarity of public opinion i.e., Positive or Negative which can be termed as Bipolarity. Bi-means two and Polarity means two opposite poles or opinions. Current research is confined to bipolar assessment of an opinion and multi-modal sentiment analysis is expecting more attention. This paper mainly presents a survey on these two areas.
文本评论的非双极性情绪评估
随着互联网的发展和蓬勃发展,越来越多的人把大量的时间花在了浏览上,尤其是社交媒体上。公众在互联网上以对各种实体的意见的形式分享他们的观点,比如正在进行的事情或特定的地方或他们的购物经历等。在早期阶段,个人为了这个动机而练习写作模式。但随着技术的进步,人们的渠道逐渐从文字扩展到图像、音频、视频等多种方式来传达他们的意见。到目前为止,这些方法得到了很好的接受和普及。因为面部和图片的简单动作传达了宝贵的信息。声调随着意见的变化而变化。因此,这些媒介比文本更具描述性。这些感觉和观念表现出他们的情绪,从而形成公众舆论。观点通常基于知识或经验。它更具体,而情感是一个人对某事的感觉。意见是由感情组成的。一种特定的或一组情绪导致一种具体的意见。虽然这两个术语可以互换使用,但这两个术语非常接近,只是在含义上略有不同。人们通过社交方式表达他们对一个实体的看法。从这些情绪中可以得出或提炼出一般的意见。这些情绪共同形成一个特定的意见,如积极的,消极的或中性的,反过来影响和帮助其他客户,交易者,或社会决定他们的交易。此外,许多趋势还在不断地动态再现。在这种发展速度下,人们不断更新他们的方法和实践。这就是他们的情绪。因此,这些情绪通过社交媒体传播给其他人。与此同时,相关的权威机构可以在这些变化发出信号之前适应这些变化,并每天扩大规模,从而与客户保持联系。除了客户之外,他们还必须了解全球的趋势和挑战,新的需求和设想的需求。因此,情绪在网络系统中迅速传播。但现有的社会网络情绪研究工作只是对民意的情绪极性进行区分,即积极或消极,可以称之为两极。bi的意思是两个,Polarity的意思是两个相反的极点或观点。目前的研究多局限于双相情感评价,多模态情感分析有待进一步研究。本文主要对这两个方面进行了综述。
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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