TrendQuery
Niranjan Kamat, Eugene W. Wu, Arnab Nandi · 2016
The surfacing of trends from data collections such as user-generated content streams and news articles is a popular and important data analysis activity, used in applications such as business intelligence, quantitative stock trading and, social media exploration. Unlike traditional content analysis, trend analysis includes an additional vital time dimension: a trend can be defined as a temporal pattern over a group of semantically related items. The unsupervised discovery of trends is often not sufficient, either due to inadequacies in the trend analysis algorithm, or because the data collection itself does not possess all of the information to identify the trend. Thus, it is necessary for an expert human-in-the-loop to be involved in the process of trend analysis.