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Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
Computational marketing has become increasingly important in today's digital world, facing challenges such as massive heterogeneous data, multi-channel customer journeys, and limited marketing budgets.
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification
Motivated by this observation, we propose to learn kernels with semantic coherence using clustering scheme combined with Word2Vec representation and domain knowledge such as SentiWordNet.
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