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0111 · Jul 201819922001200920172026
4 results for Micro-Events

Study investigates micro-event detection on FLOSS version releases from Stack Overflow.

problem Detecting micro-events in FLOSS version release events from textual messages.
method Developed pipelines using LDA topic modeling, hSBM topics, and sentiment analysis; optimized feature spaces with RFECV; evaluated models with statistical analysis.
result Found characteristic changes in topics or sentiment features before or after FLOSS version releases.

In this paper we seek methods to effectively detect urban micro-events. Urban micro-events are events which occur in cities, have limited geographical coverage and typically affect only a small group of citizens. Because of their scale these are difficult to identify in most data sources. However, by using citizen sens…

2019-04-30abs ↗pdf ↗