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1. www.researchgate.net › publication › 263736290_Analysis_of_Yelp_Reviews(PDF) Analysis of Yelp Reviews - ResearchGate

   www.researchgate.net › publication › 263736290_Analysis_of_Yelp_Reviews

   5 Ιουλ 2014 · Our work examines Yelp Reviews for businesses in and around college towns. We demonstrate that an Observer Effect causes data to behave cyclically: rising and falling as momentum (quantified in...

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     Our work examines Yelp Reviews for businesses in and around...

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2. www.researchgate.net › publication › 363116961_Topic_Modeling_and_SentimentTopic Modeling and Sentiment Analysis of Yelp Restaurant Reviews

   www.researchgate.net › publication › 363116961_Topic_Modeling_and_Sentiment

   1 Ιαν 2022 · Applying a four-phase research model, our study demonstrated data extraction and cleaning, topic modeling using Latent Dirichlet allocation (LDA) to extract five topics (Price, Time, Food,...

3. www.hbs.edu › ris › Publication FilesReviews, Reputation, and Revenue: The Case of Yelp

   www.hbs.edu › ris › Publication Files

   Reviews, Reputation, and Revenue: The Case of Yelp.com Michael Luca† Abstract Do online consumer reviews affect restaurant demand? I investigate this question using a novel dataset combining reviews from the website Yelp.com and restaurant data from the Washington State Department of Revenue.

4. web.stanford.edu › class › archiveUnderstanding and Predicting the Usefulness of Yelp Reviews

   web.stanford.edu › class › archive

   Abstract. In this paper, I investigate the effectiveness of using Recurrent Neural Network (RNN) to predict and gain insight into the usefulness of Yelp Reviews. Predicting a written review’s usefulness is an important and challenging task.

5. www.researchgate.net › publication › 265857674_Motives_for_reading_and(PDF) Motives for reading and articulating user-generated...

   www.researchgate.net › publication › 265857674_Motives_for_reading_and

   12 Αυγ 2014 · Findings – Users tend to trust the reviews on Yelp.com and engage in the community aspects of the platform. Yelp.com users also are altruistic in their motivation for contributing reviews to...

6. arxiv.org › pdf › 1407Analysis of Yelp Reviews - arXiv.org

   arxiv.org › pdf › 1407

   The current model for social business review sites, such as Yelp, allows data (reviews, ratings) to be compiled concurrently, which in- troduces a bias to participants (Yelp Users).

7. cs229.stanford.edu › proj2014 › Ben Isaacs, Xavier Mignot, Maxwell SiegelmanPredicting Usefulness of Yelp Reviews - Stanford University

   cs229.stanford.edu › proj2014 › Ben Isaacs, Xavier Mignot, Maxwell Siegelman

   Introduction. The Yelp Dataset Challenge makes a huge set of user, business, and review data publicly available for machine learning projects. They wish to find interesting trends and patterns in all of the data they have accumulated. Our goal is to predict how useful a review will prove to be to users. We can use review upvotes as a metric.