OCICATS (Online community input classification to advance transportation services) – a GIS-based decision-support tool
David M. Brownstone, McBride Michael · eScholarship (California Digital Library) · 2016
This project developed software based on machine learning techniques to summarize discussions regarding transportation in California on social media.This tool is intended to reveal factors important to transportation users that may not be evident to transit agencies.The software uses topic modeling to cluster public messages related to transportation on the Twitter social media platform.Sentiment analysis techniques were then utilized to assign a polarity (positive, negative, or neutral) to each message and then aggregated by topic.The software is thus able to summarize the sentiment towards each automatically identified topic.It was found that the quality of topic identification depends on the size of the dataset, the number of topics that has to be specified to the topic modeling algorithm, and the positive/negative thresholds for the sentiment analysis algorithm.