Publications by Allen Baiju, Helena Lindsay, and Max St John
Enhancing User Satisfaction in Major U.S. Transit Systems: An Operational Data-Driven Approach
Objective In recent years, public sentiment and user experience have become pivotal aspects in evaluating the success and efficiency of various services, including the realm of public transit systems. This paper delves into the exploration of factors that correlate with sentiments toward key U.S. public transit systems. By examining sentiment data ...
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Uncovering Factors Correlated with Sentiments Towards Key U.S. Public Transit Systems: Identifying Key Areas for Enhancing User Experience
Objective In recent years, public sentiment and user experience have become pivotal aspects in evaluating the success and efficiency of various services, including the realm of public transit systems. This paper delves into the exploration of factors that correlate with sentiments toward key U.S. public transit systems. By examining sentiment data ...
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Uncovering Factors Correlated with Sentiments Towards Key U.S. Public Transit Systems: Identifying Key Areas for Enhancing User Experience
Objective In recent years, public sentiment and user experience have become pivotal aspects in evaluating the success and efficiency of various services, including the realm of public transit systems. This paper delves into the exploration of factors that correlate with sentiments toward key U.S. public transit systems. By examining sentiment data ...
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Predictive Modeling of the Perception of Liveliness in Atlanta Using Place Pulse and Google Street View Data
Introduction Background Although a crucial quality to a successful urban environment, “Liveliness” is a metric that is difficult to measure. For this project, we found a dataset, ‘Place Pulse’, which compiles user input on such subjective metrics including ‘liveliness’, ‘safety’, etc, along with the accompanied images of the survey...
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Updated Report
Introduction Background Although a crucial quality to a successful urban environment, “Liveliness” is a metric that is difficult to measure. For this project, we found a dataset, ‘Place Pulse’, which compiles user input on such subjective metrics including ‘liveliness’, ‘safety’, etc, along with the accompanied images of the survey...
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Sample Report
Introduction Background “Liveliness” is a quality that is crucial to a successful urban environment. The goal was to see if it was possible to use regression and/or machine learning to identify neighborhoods that had a significant shift in perceived liveliness. Research Question What elements influence individuals’ perceptions of the vibran...
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Sample Report 2
Introduction Background “Liveliness” is a quality that is crucial to a successful urban environment. The goal was to see if it was possible to use regression and/or machine learning to identify neighborhoods that had a significant shift in perceived liveliness. Research Question What elements influence individuals’ perceptions of the vibran...
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Fitting the RF Model to the Atlanta Google Street View Data
Fitting the RF Model to the Atlanta Google Street View Data load("/Users/helenalindsay/Documents/Fall_23/CP8883/Computer_Vision/Project/rf_model") score <- read.csv("/Users/helenalindsay/Documents/Fall_23/CP8883/Computer_Vision/locations_qscore_combined_new.csv") score_sf <- score %>% st_as_sf(coords = c("loc.1", "loc.0"), crs = 4326) scores <- ...
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Selecting the Best Model for Predicting Liveliness Scores Using Google Street View Images
Data Exploration score <- read.csv("/Users/helenalindsay/Documents/Fall_23/CP8883/Computer_Vision/Filtered_data/all_filtered.csv") #score <- read.csv("/Users/helenalindsay/Documents/Fall_23/CP8883/Computer_Vision/locations_qscore_combined_new.csv") #score <- score %>% # filter(loc.0 >= 33.62109 & loc.0 <= 33.90101 & # loc.1 >= -84.55241 & ...
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Analyzing Sentiments Surrounding the Recent Surge in Popularity of 'Lactate Threshold' Training Through Reddit Data
# Package names packages <- c("RedditExtractoR", "anytime", "magrittr", "ggplot2", "dplyr", "tidytext", "tidyverse", "igraph", "ggraph", "tidyr", "wordcloud2", "textdata", "sf", "tmap") # Install packages not yet installed installed_packages <- packages %in% rownames(installed.packages()) if (any(installed_packages == FALSE)) { install.packages(pa...
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