Insights of strength and weakness of evolving methodologies of sentiment analysis

M.B. Nasreen Taj , G.S. Girisha
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引用次数: 8

Abstract

With every business process and organization being more concerned about adopting the latest technology towards understanding the success rate and risk associated with the product/service launch, they need to understand the intention and review of their prospective customer. Sentiment Analysis is one such advanced technology to analyze and perceive the behavior of a consumer. However, many challenges hinder analyzing precise sense of sentiments and locating the appropriate sentiment divisions. There has been a significant amount of work being carried out in this direction since the last decade. Furthermore, with the evolution of big data technologies, new methodologies have been introduced to improve sentiment analysis with various evolving applications. This paper provides a comprehensive study on sentiment analysis to provide valuable insight into sentiment analysis approaches and related fields. The paper discusses various essential information associated with the dataset, a new arena of application and methodologies, upcoming research methods, study findings, and further contributing to the ultimate study and research gap.

情感分析方法发展的优缺点洞察
随着每个业务流程和组织越来越关注采用最新技术来了解与产品/服务发布相关的成功率和风险,他们需要了解潜在客户的意图和审查。情感分析就是一种分析和感知消费者行为的先进技术。然而,许多挑战阻碍了对情感的精确分析和定位适当的情感划分。自过去十年以来,在这方面进行了大量的工作。此外,随着大数据技术的发展,已经引入了新的方法来改进各种不断发展的应用程序的情感分析。本文对情感分析进行了全面的研究,为情感分析方法和相关领域提供了有价值的见解。本文讨论了与数据集相关的各种基本信息,一个新的应用和方法领域,未来的研究方法,研究结果,以及进一步促进最终的研究和研究差距。
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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