Persian Opinion Mining:A Networked Analysis Approach

Mohammad Heydari, B. Teimourpour
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Abstract

Currently, Opinion Mining is a field of great interest and development since it has various practical applications in different fields. The Persian language has a great deal of potential for thorough investigation in various characteristic of natural language processing. In this study, we review the latest studies in Persian Natural Language Processing and introduce modern Deep Learning models. In the following, we express the most important Sentimental Analysis Challenges in Persian ancient language and demonstrate related Persian Information Retrieval Tools, Models, Libraries, and Techniques. Finally, we create the Network of Research Centers, Privately Industrial Companies, and their products in Persian Natural Language Processing. The utilization of the Network Science approach in the field gives us a comprehensive big picture of the latest advancement and development in the Persian Sentiment Analysis topic and identifying the Blind spots.
波斯意见挖掘:一种网络分析方法
目前,由于意见挖掘在不同的领域有各种各样的实际应用,它是一个备受关注和发展的领域。波斯语在自然语言处理的各种特征方面有很大的研究潜力。在本研究中,我们回顾了波斯语自然语言处理的最新研究,并介绍了现代深度学习模型。下面,我们用波斯语表达了最重要的情感分析挑战,并展示了相关的波斯语信息检索工具、模型、库和技术。最后,我们创建了波斯语自然语言处理研究中心、私营工业公司及其产品网络。网络科学方法在该领域的应用使我们全面了解了波斯情感分析主题的最新进展和发展,并确定了盲点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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