A Two-Stage Machine learning approach for temporally-robust text classification.

•Proposal of an automatic procedure to learn the Temporal Weighting Functions (TWFs) from the training data. based on a cheap strategy to learn the distribution that better suits each domain.•Proposal of three lazy strategies to incorporate TWFs into traditional ADC algorithms.•Further evaluation of the proposed strategies using three real-world textual datasets with distinct temporal characteristics.