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Sentiment Analysis Study with an Emphasis on the Integration of Different Statement Polarities and the Evaluation of the Resulting Sentiments

机译:情感分析研究,着重于不同陈述极性的整合和对情感的评价

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摘要

Social media has become an integral part of today's society and has continued to grow tremendously throughout the world. People communicate through social media constantly and social media has become a pivotal place for people to gather information related to things that they are interested in. It is also a place for people to express their views to friends, family and followers with just one click of a button immediately. Naturally in society there are a wide range of views encompassing an unlimited amount of subjects. Some of these views can be deemed negative, positive, neutral or maybe even other.;My research will attempt to identify the sentimental impact that different views in the form of social interactions online, can have on the people who are watching, listening and reading them. Furthermore, I will research how the integration of neutral and positive statements can stimulate positive and productive conversation amongst a community on a small scale as well as a large scale. Analysis of this will be quantified by changes in the overall reaction of the various communities time following intervention. The main contribution of this thesis is to show a correlation between statements with positive or neutral sentiment and a trend towards positive or neutral responses after moderation. Events of large discussion or interest will be evaluated to ensure a significant amount of data is available for analysis. In order to integrate the social aspect into the equation, software will be explored and evaluated or built and then utilized to connect participants and extract the appropriate metrics.
机译:社交媒体已成为当今社会不可或缺的一部分,并且在全世界范围内持续增长。人们不断通过社交媒体进行交流,社交媒体已成为人们收集与他们感兴趣的事物有关的信息的关键场所。这里也是人们仅需单击一下即可向朋友,家人和关注者表达意见的地方。立即按下一个按钮。自然地,在社会中,有各种各样的观点,涵盖了无数的主题。这些观点中的一些可以被认为是消极的,正面的,中立的,甚至可能是其他观点。我的研究将试图确定不同观点以在线社交互动的形式对观看,收听和阅读的人产生的情感影响。他们。此外,我将研究中性和积极陈述的融合如何在小规模和大规模范围内激发社区之间的积极和富有成效的对话。将通过干预后各个社区的总体反应时间变化来量化对此的分析。本论文的主要贡献是表明在具有积极或中性情绪的陈述与适度后趋向积极或中性反应的趋势之间的相关性。将对大型讨论或感兴趣的事件进行评估,以确保有大量数据可用于分析。为了将社会方面整合到方程中,将对软件进行探索和评估或构建,然后将其用于连接参与者并提取适当的指标。

著录项

  • 作者

    Braddy, Shawn.;

  • 作者单位

    East Carolina University.;

  • 授予单位 East Carolina University.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 74 p.
  • 总页数 74
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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