商业分析Yelp评论使用R

International Conference on Communication & Information Processing (ICCIP) 2019 (Archive) Pub Date : 2019-05-17 DOI:10.2139/ssrn.3418343

D. Kulkarni, Priyanka Patil

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引用次数: 0

摘要

如今，在决定去餐馆吃午餐或晚餐或计划任何旅行之前，在线评论起着非常重要的作用。在本文中，我们研究了来自Yelp.com的数据集。Yelp已经成为一个非常重要的网站，特别是对于那些可以根据在线评论获得成功或倒闭的小企业来说。我们使用情感挖掘总结了所有评论对餐馆的影响，并提供了统计见解。我们的方法是对产生最差和最好评级的业务进行研究，并通过使用R软件(一种统计工具)确定给出最差和最好评级的用户。建立了模型，并给出了模型的计算结果。

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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Business Analytics for Yelp Reviews using R

Now-a-days online reviews plays a very important role before taking any decision about having a lunch or dinner at Restaurants or planning any trip. In this paper, we have investigated the dataset from Yelp.com. Yelp has become a very important site, particularly for small businesses who can achieve success or close down, based on their online reviews. We have summarized all the effects of reviews on the restaurants using sentiment mining and have provided with the statistical Insights. Our approach is to create a study on the business which yielded the worst and best ratings and determine the users who gave the worst and best ratings by using R software which is a statistical tool. The model has been created and the results for the same are obtained.

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International Conference on Communication & Information Processing (ICCIP) 2019 (Archive)

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