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Full-Text Articles in Science and Technology Studies
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
Emotional Intelligence: The Effect On Social Media Use, Interpersonal Violence, And Gender, Gail Grabczynski
Emotional Intelligence: The Effect On Social Media Use, Interpersonal Violence, And Gender, Gail Grabczynski
Scholar Week 2016 - present
This study investigated the relationship between Emotional Intelligence (EI), social media use, interpersonal violence and gender. EI is a relatively new topic of research that has been of interest to many organizations due to the proposition that EI assists in the development of individuals. With the proliferation of social media, interpersonal violence and women in the workforce, a determination of a relationship between EI and those variables was warranted. The study was conducted at a small private Christian university. An online survey was administered to 123 sophomores. This study was a cross-sectional quantitative design, that utilized three established instruments to …