78 citations · 91 across the 9 of their papers we have counts for
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cs.CL2019★ 2 cited
Textual Data for Time Series Forecasting
David Obst, Badih Ghattas, Sandra Claudel +3
While ubiquitous, textual sources of information such as company reports, social media posts, etc. are hardly included in prediction algorithms for time series, despite the relevan…
cs.LG2019
How to detect novelty in textual data streams? A comparative study of existing methods
Clément Christophe, Julien Velcin, Jairo Cugliari +2
Since datasets with annotation for novelty at the document and/or word level are not easily available, we present a simulation framework that allows us to create different textual…