A survey on sentiment analysis in tourism

Sarah Anis, S. Saad, M. Aref
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引用次数: 2

Abstract

Tourism-related websites have turned into an incredible data source that impacts the tourism industry from many points of view. Tourists express their opinions regarding products and services online daily. The interest in understanding and analyzing customer opinions has increased significantly over the past few years as it is vital for the decision making of both customers and companies. Sentiment analysis is the practice of applying natural language processing, statistics and machine learning methods to extract and identify the common opinion behind the text in a review, blog discussion, news, comments or any other document. Sentiment analysis has great potential to directly understand tourists’ opinions. This paper tackles a comprehensive overview of the latest update in this field. The main target of this survey is to give a nearly full image of sentiment analysis approaches, techniques, and challenges in analyzing the correct meaning of sentiments and detecting the suitable sentiment polarity in the field of tourism.
旅游情感分析的调查研究
旅游相关网站已经成为一个令人难以置信的数据源,从许多角度影响着旅游业。游客每天都在网上表达他们对产品和服务的看法。在过去几年中,理解和分析客户意见的兴趣显著增加,因为它对客户和公司的决策都至关重要。情感分析是应用自然语言处理、统计学和机器学习方法,从评论、博客讨论、新闻、评论或任何其他文档中提取和识别文本背后的共同观点的实践。情感分析在直接了解游客意见方面具有很大的潜力。本文全面概述了这一领域的最新进展。本次调查的主要目标是给出一个近乎完整的图像情感分析的方法,技术和挑战,在分析正确的意义的情感和检测合适的情感极性在旅游领域。
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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