Social media has been remarkably grown during the past few years. Nowadays, posting messages on social media websites has become one of the most popular Internet activities. The vast amount of user-generated content has made social media the most extensive data source of public opinion. Sentiment analysis is one of the techniques used to analyze user-generated data. The Persian language has specific features and thereby requires unique methods and models to be adopted for sentiment analysis, which are different from those in English language. Sentiment analysis in each language has specified prerequisites; hence, the direct use of methods, tools, and resources developed for English language in Persian has its limitations. The main target of this paper is to provide a comprehensive literature survey for state-of-the-art advances in Persian sentiment analysis. In this regard, the present study aims to investigate and compare the previous sentiment analysis studies on Persian texts and describe contributions presented in articles published in the last decade. First, the levels, approaches, and tasks for sentiment analysis are described. Then, a detailed survey of the sentiment analysis methods used for Persian texts is presented, and previous relevant works on Persian Language are discussed. Moreover, we present in this survey the authentic and published standard sentiment analysis resources and advances that have been done for Persian sentiment analysis. Finally, according to the state-of-the-art development of English sentiment analysis, some issues and challenges not being addressed in Persian texts are listed, and some guidelines and trends are provided for future research on Persian texts. The paper provides information to help new or established researchers in the field as well as industry developers who aim to deploy an operational complete sentiment analysis system.
翻译:过去几年来,社交媒体有了显著发展。如今,社交媒体网站发布信息已成为最受欢迎的互联网活动之一。大量用户生成的内容使社交媒体成为最广泛的公共舆论数据来源。情感分析是用来分析用户生成的数据的技术之一。情感分析是用来分析用户生成的数据的技术之一。波斯语具有具体特点,因此需要采用独特的方法和模式进行情感分析,这些方法和模式不同于英语语言;每种语言的情感分析都有具体的先决条件;因此,直接使用为波斯语英语开发的方法、工具和资源是有其局限性的。本文的主要目标是为波斯语情感分析中最先进的进步提供全面的部署趋势文献调查。在这方面,本研究报告旨在调查和比较以前对波斯文本的情绪分析研究,并描述过去十年发表的文章中提出的意见。首先,介绍了情绪分析的级别、方法和任务。随后,对波斯文文本使用的情绪分析方法进行了详细调查,并讨论了以前有关波斯语语言的相关著作。此外,我们在这次调查中,关于真实和标准情感分析的文本分析,最终是针对波斯语发展动态分析的、真实性和标准文本,是针对波斯语发展动态分析的,最终的、印刷和标准分析,是针对波斯情绪分析的、印刷分析的文本的、印刷和印刷分析。在分析中提供和印刷分析中,对历史分析提供了某些和标准分析的文本的理论分析,最终和标准分析中,对波斯分析,对波斯历史分析的分析和,对波斯历史和标准分析提供了某些分析,对波斯历史分析,提供了新的分析,提供了新的分析,对波斯历史分析,对历史和标准分析,对波斯发展作了明确的分析和,最后的理论分析,对材料的分析和。在论文分析,对波斯历史和历史分析。在论文的分析和,对波斯历史分析,对波斯发展的分析和,最后的分析和,对波斯历史和标准分析,对波斯的分析和,提供了的分析和,提供了和标准分析,对材料的分析和,对波斯的分析和,对波斯的分析和,最后的分析和,对波斯的分析和,提供了分析,对论文分析,对论文和标准分析,对出版和标准分析,对历史和历史和历史分析,对出版和历史分析,对论文的分析和,对论文的分析和,对出版的分析和,对论文的分析和,对出版的分析和,对出版的分析和,最后作了