Deep Learning‐ and Word Embedding‐Based Heterogeneous Classifier Ensembles for Text Classification
Deep Learning‐ and Word Embedding‐Based Heterogeneous Classifier Ensembles for Text Classification is a scholarly work, published in 2018 in ''Complexity''. The main subjects of the publication include Multi-label classification, classifier, natural language processing, deep learning, artificial intelligence, word embedding, keyword extraction, embedding, word, and computer science. The authors use different document representations with the benefit of word embeddings and an ensemble of base classifiers for text classification.