… Document classification requires to extract high-level features … document, which can not
scale well for long document. In this paper, we propose to tackle the long document classification …

… word-level embedding method improves performance of a representative spatio-temporal
document … the word-level tokenization method shows high performance in classifying Korean …

… on dynamic word embeddings (HieNN-DWE) for document level sentiment classification. …
the first to employ dynamic word embeddings on document level sentiment classification. …

… be used to classify radiology report … classify mammography report text at the word level
using a sequence labeling approach. Two radiologists devised a comprehensive classification …

… Experiments conducted on four document-level classification tasks demonstrate that the
proposed architecture can generate higher-quality word and document representations and …

… The author proposes a novel CNN topology and shows that word2vec initialization and a
subsequent learning plays a crucial role for all sentence-level single-label classification tasks. …

… (word, sentence/passage, and document) classification of the related work for opinion
mining. In this section, we describe the opinion mining process in steps and discuss the work …

… -level features and word-level features for text classification on English … level model
outperformed word-level model. Further analysis on the evaluation of word-level and character-level …

… ) for document organization is presented. The purpose of the system is the classification of
a document collection in terms of document content. The system possesses a two-level hybrid …

… word co-occurrence. In this paper, we investigate Arabic document classification using Word
and document … beyond word level to learn phrase-level or document level representations. …