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A Literature Review on Sentiment Analysis and its Foundational Technologies

机译:情感分析及其基础技术文献综述

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Sentiment Analysis is the computational treatment of opinion or sentiment expressed in a source of data. A cross-section of Natural Language Processing and Machine Learning, Sentiment Analysis applications deal with opinions as a tangible commodity often used to leverage big data for the sake of gaining a competitive advantage. To date it appears Sentiment Analysis has no formal frameworks or seminal texts that one can turn to for an accessible but comprehensive look into the field. This literature review based paper addresses this absence by providing a technical summary of common modern frameworks, the taxonomy of its parent fields and a brief analysis of related research dating back to the early 1990s.
机译:情感分析是对数据源中表达的观点或情感的计算处理。情感分析应用程序是自然语言处理和机器学习的一个横断面,它把意见作为一种有形商品,通常被用来利用大数据以获取竞争优势。迄今为止,似乎“情感分析”还没有正式的框架或开创性的文本可供人们参考,以获取对该领域的可访问但全面的了解。这篇基于文献综述的论文通过提供常见现代框架的技术摘要,其父领域的分类法以及对可追溯到1990年代初的相关研究的简要分析,解决了这种缺失。

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