Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 5 of 5 for “"Yelp dataset"”.

  1. Finding local experts from Yelp dataset

    … to find local experts on different things from Yelp data. Review and recommendation systems have become a big part of how people consume different products and businesses today. Yelp is a great example of a huge database of reviews on businesses ranging from restaurants, gas stations, salons, …

    uiuc Repository record for Finding local experts from Yelp dataset (opens in a new tab)

  2. An empirical study identifying bias in Yelp dataset

    … behaviors in users' rating habits in the Yelp dataset. The Surprise recommender system is utilized to produce expected ratings for the test set, training the model with 75% of the original dataset to learn the rating trends. Then, the ordinary least squares (OLS) linear regression is …

    mit Repository record for An empirical study identifying bias in Yelp dataset (opens in a new tab)

  3. Self-supervised text sentiment transfer with rationale predictions and pretrained transformers

    … similar levels of sentiment word removal for the Yelp dataset. However, the heuristic approach leads to improved results with the pretrained model on the Amazon dataset. We also find that using the pretrained Transformers model improves upon the results of using the baseline LSTM trained from …

    cape-town Repository record for Self-supervised text sentiment transfer with rationale predictions and pretrained transformers (opens in a new tab)

  4. Three essays in corporate finance

    … of Customer Satisfaction: Evidence from Yelp Ratings and SBA Loans, demonstrates the financial and real consequences of customer satisfaction using a novel and comprehensive Yelp dataset. I show that Yelp ratings are significant indicators of business outcomes in a regression …

    uiuc Repository record for Three essays in corporate finance (opens in a new tab)

  5. Defending Against Trojan Attacks on Neural Network-based Language Models

    … a certain pattern to a portion of given training dataset, causing the DNN model to misclassify any inputs that contain the pattern. These infected classifiers are called Trojan models and the added pattern is referred to as the trigger. In image domain, a trigger can be a patch of pixel values …

    vt Repository record for Defending Against Trojan Attacks on Neural Network-based Language Models (opens in a new tab)