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Non-Bipolar Sentiment Assessment of Text Reviews

机译:文本评论的非双极性情感评估

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摘要

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.
机译:随着Internet的发展和蓬勃发展,无数的人类将大量时间专门用于浏览,尤其是在社交媒体上。公众以对各种实体(例如正在进行的事务或特定地区或他们在互联网上的购物经历等)的意见的形式分享他们的观点。在早期,个人为此目的练习写作模式。但是逐渐考虑到技术所取得的进展,渠道从文本扩展到其他多种模式,以传达他们的意见,例如图像,音频,视频。迄今为止,这些手段受到了欢迎并盛行。因为面部和图片的简单动作传达了信息的宝藏。声音调随着观点的变化而变化。因此,这些媒介比文本更具描述性。这些感觉和观念显示出他们的情绪,这些情绪影响着公众舆论。意见通常基于知识或经验。它更具体,而情感则是人们对某事的感觉。意见由情绪组成。特定或一组情感导致具体的意见。尽管这两个术语可以互换使用,但是这两个术语非常接近,但含义略有不同。人们在社交上表达对实体的看法。可以从这些观点中得出或得出一般性意见。这些情绪共同形成特定的意见,例如肯定,否定或中立,进而影响并帮助其他客户,交易者或社会决定他们的交易。此外,许多趋势一直在动态地重新创建。随着这种进步,人们不断更新自己的方法和实践。因此,他们的情绪。因此,这些情绪通过社交媒体传播给其他人。同时,相关机构可以在更改发出信号之前适应这些更改,并且每天都在扩大范围,从而与客户保持联系。除客户外,他们还必须在全球范围内具备应对趋势和挑战,新需求和预见需求的知识。因此,情绪在在线系统中迅速传播。但是,关于社交网络情感的现有工作只是为了区分舆论的情感极性,即可以被称为双极性的积极或消极。双指二和极性表示两个相反的极点或观点。当前的研究仅限于对观点的双极评估,并且多模式情感分析有望引起更多关注。本文主要对这两个领域进行了调查。

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