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A Comparative Survey of Instance Selection Methods Applied to NonNeural and Transformer-Based Text Classification
On the class separability of contextual embeddings representations – or The classifier does not matter when the (text) representation is so good!
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study
Stroke outcome measurements from electronic medical records: Cross-sectional study on theeffectiveness of neural and nonneural classifiers
Extended pre-processing pipeline for text classification: On the role of meta-feature representations,sparsification and selective sampling
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords
Keep It Simple, Lazy - MetaLazy: A New MetaStrategy for Lazy Text Classification
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling
A Feature-oriented Sentiment Rating for Mobile App Reviews