The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their sentiments are analysed and sentiments are evolved over time, is getting much attention with increasing feedback of public and customers on social media. The immense advancements in this field urged the researchers to devise new techniques and approaches, each sermonizing a different research analysis/question, that cope with upcoming issues and complex scenarios of Aspect-based Sentiment Analysis. Therefore, this survey emphasized on the issues and challenges that are related to extraction of different aspects and their relevant sentiments, relational mapping between aspects, interactions, dependencies, and contextual-semantic relationships between different data objects for improved sentiment accuracy, and prediction of sentiment evolution dynamicity. A rigorous overview of the recent progress is summarized based on whether they contributed towards highlighting and mitigating the issue of Aspect Extraction, Aspect Sentiment Analysis or Sentiment Evolution. The reported performance for each scrutinized study of Aspect Extraction and Aspect Sentiment Analysis is also given, showing the quantitative evaluation of the proposed approach. Future research directions are proposed and discussed, by critically analysing the presented recent solutions, that will be helpful for researchers and beneficial for improving sentiment classification at aspect-level.

中文翻译：

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基于方面的情感分析的问题和挑战：综合调查

随着公众和客户在社交媒体上的反馈越来越多，基于方面的情感分析领域（在该领域中提取方面，分析其情感并随着时间的推移而演变）越来越受到关注。该领域的巨大进步促使研究人员设计新的技术和方法，每一个都提出不同的研究分析/问题，以应对即将出现的问题和基于方面的情绪分析的复杂场景。因此，本次调查强调了与提取不同方面及其相关情感、方面之间的关系映射、交互、依赖关系以及不同数据对象之间的上下文语义关系相关的问题和挑战，以提高情感准确性和情感预测演化动态。根据它们是否有助于突出和减轻方面提取、方面情感分析或情感演变的问题，对最近的进展进行了严格的概述。还给出了每个方面提取和方面情感分析的详细研究报告的性能，显示了对所提出方法的定量评估。通过批判性地分析最近提出的解决方案，提出并讨论了未来的研究方向，这将有助于研究人员并有利于改进方面级别的情感分类。还给出了每个方面提取和方面情感分析的详细研究报告的性能，显示了对所提出方法的定量评估。通过批判性地分析最近提出的解决方案，提出并讨论了未来的研究方向，这将有助于研究人员并有利于改进方面级别的情感分类。还给出了每个方面提取和方面情感分析的详细研究报告的性能，显示了对所提出方法的定量评估。通过批判性地分析最近提出的解决方案，提出并讨论了未来的研究方向，这将有助于研究人员并有利于改进方面级别的情感分类。