Intention Analysis is a computational task that analyzes people’s desires, wishes, and attitudes from user-generated texts. This sub-field of text mining has recently attracted research interest. This research paper provides an overview and an analysis of the latest studies in this field. These studies were categorized and summarized according to their contributions and the techniques they used. Several proposed approaches and some real applications were investigated in depth and presented in detail. Moreover, some related fields to intention analysis such as Transfer Learning (TL), Spam Detection (SD), and Building Resources (BR) were discussed in this survey of the literature dedicated to Intention Analysis. The aim of this survey is to give a comprehensive view of the intention analysis field supported by a number of graphics and summary tables about the literature. The paper concludes by identifying a number of research topics that can be promising for future research.

中文翻译：

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意图分析调查：成功的方法和开放的挑战

意图分析是一项计算任务，它从用户生成的文本中分析人们的愿望、愿望和态度。文本挖掘的这个子领域最近引起了研究兴趣。本研究论文对该领域的最新研究进行了概述和分析。这些研究根据他们的贡献和他们使用的技术进行分类和总结。深入研究并详细介绍了几种提出的方​​法和一些实际应用。此外，本次意向分析文献调查还讨论了一些与意向分析相关的领域，例如迁移学习 (TL)、垃圾邮件检测 (SD) 和构建资源 (BR)。本次调查的目的是通过大量有关文献的图形和汇总表，全面了解意图分析领域。论文最后确定了一些对未来研究有希望的研究课题。