基于文本分析的恰蒂斯加尔邦旅游业特征意见挖掘

Riya Sharma, Ani Thomas
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引用次数: 0

摘要

观点挖掘是自然语言处理(NLP)的一种方法,用于区分内容或任何句子的情感语气。这通常是一种众所周知的方法来决定对一个项目、管理或思想的评估。它包括利用信息挖掘、人工智能和人工意识对内容的结论和情感数据。意见挖掘也被称为情感分析。情感分析可以说是对人类情感的研究,我们可以从任何内容上将这些概念分为积极和消极。这是一个评估内容情感价值的过程,了解其表达的心境、假设和情感。游客的反馈对旅游行业很重要,因为它可以根据这些评论来计划营销策略,因此有必要了解他们对一个地方的独特特征的看法,作为一个地方的整体情绪。舆论挖掘对于恰蒂斯加尔邦加强旅游业是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature based Opinion Mining using Text Analysis for Chhattisgarh Tourism Industry
Opinion mining is an approach of natural language processing (NLP) that distinguishes the emotional tone of the content or any sentence. This is often a well known approach to decide the assessment about an item, administration or thought. It includes the utilization of information mining, AI and man-made consciousness for conclusion and emotional data of the content. opinion mining is also referred as sentiment analysis. Sentient analysis can be said as study of human emotions .we can arrange those notions into positive and negative from any content . It is a procedure of evaluating the emotional value in content ,to have a comprehension of frames of mind, suppositions and emotions are expressed .The feedback of Tourists are important for Tourism Industries, because it enables to plan marketing strategies based on the reviews .So it is necessary to understand their sentiments about its distinctive features as overall sentiment of a place. Opinion mining is necessary for Chhattisgarh to enhance its tourism industry.
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