Addressing Challenges of Opinion Mining in Businesses

T. Khan
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Abstract

Customer satisfaction has become the primary target for each successful running business currently. They have the true potential in uplifting a tiny business overnight to completely shutting down a brand. Real time analysis of customer opinion (sentiment) is the backbone of this success. Thus this piece of research tries to focus light on the challenges encountered by businesses in four categories of opinion mining. Natural Language Processing with machine learning algorithms works wonders for opinion mining. What is important is the correct choice of opinion mining for a specific type of business as each one of them demands an idiosyncratic approach. The research indeed shares a quick infusion for businesses to safeguard. Countless advice is beared by businesses to have real time analysis, but this research endeavor by showcasing its ideal infusion.
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解决企业意见挖掘的挑战
顾客满意已成为当前每个成功经营企业的首要目标。他们有真正的潜力,可以在一夜之间让一家小公司兴旺起来,甚至彻底关闭一个品牌。实时分析客户意见(情绪)是这种成功的支柱。因此,这篇研究试图将重点放在企业在四类意见挖掘中遇到的挑战上。使用机器学习算法的自然语言处理在意见挖掘方面创造了奇迹。重要的是为特定类型的业务正确选择意见挖掘,因为每种类型都需要一种特殊的方法。这项研究确实为企业提供了一种快速的保护方法。企业对实时分析的建议数不胜数,但本研究通过展示其理想的输液来努力。
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