论文标题
对基于方面的情感分析的全面调查
A Comprehensive Survey on Aspect Based Sentiment Analysis
论文作者
论文摘要
基于方面的情感分析（ABSA）是自然语言处理的子场，它基本上涉及将我们的数据拆分为广告，最终提取了情感信息。众所周知，阿布萨（Absa）提供了有关上下文的更多信息，而不是一般情绪分析。在这项研究中，我们的目标是探索在进行ABSA时实践的各种方法，并提供比较研究。该调查文件深入讨论了各种解决方案，并在它们之间进行了比较。并方便地分为各节，以对该过程有整体的看法。
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis. In this study, our aim is to explore the various methodologies practiced while performing ABSA, and providing a comparative study. This survey paper discusses various solutions in-depth and gives a comparison between them. And is conveniently divided into sections to get a holistic view on the process.
