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5 Ιουλ 2014 · The current model for social business review sites, such as Yelp, allows data (reviews, ratings) to be compiled concurrently, which introduces a bias to participants (Yelp Users).
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The current model for social business review sites, such as...
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set consisting of reviews from the website Yelp.com and revenue data from the Washington State Department of Revenue, I present three key findings: (1) a one-star increase in Yelp rating leads to a 5-9 percent increase in revenue, (2) this effect is driven by independent restaurants;
5 Ιουλ 2014 · This paper first explores the most relevant features that make a review ‘useful’, ‘funny’ or ‘cool’ in Yelp site using various feature selection techniques, then applies different supervised machine learning techniques and evaluates the classification accuracy.
1 Απρ 2003 · Objective.—To illustrate how laboratorians and pathologists must demonstrate accountability for efficiency (how well something is done), effectiveness (what is done), and cost-effectiveness...
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,...
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.
incorporated into and governed by the Agreement for Laboratory Services between Client and the Facility dated as of _____ (the “ Agreement ”). Capitalized terms not otherwise defined in this Work Order 1 will have the same meaning as set forth in the Agreement. 1. Services. The Facility will perform the following Services: 2. Materials.
