Developing a Spatio-Temporal Sentiment Analysis for Online User- Generated Reviews

Abstract

At the moment, the number of online reviews is always growing, but the quality of the
reviews varies a lot. In general, different levels of detail can be used to analyze feelings and opinions.
The sentiment is not just a piece of text; it is also tied to a place and a time stamp. This kind of data
about how people feel is called "spatio-temporal sentiment." For spatio-temporal sentiments, the
traditional ways of analyzing sentiments do not work. In this paper, we're coming up with a way to do a
spatio-temporal analysis to help with the sentiment data that has both a location and a time stamp.