… a brief overview of text classification algorithms is discussed. This overview covers different
text … ) is a reduced and simplified representation of a text document from selected parts of the …

… , text classification techniques have been … review on feature selection techniques for text
classification. We begin by introducing some popular representation schemes for documents…

… related work on document representation based on latent semantics. A brief description of
the … We present our approaches to the semantic representation of document collections in …

… , or text classification. In this survey, we study how text representation methods have …
representation of text for low-quality text Classification and therefore uses content, data, and …

… The present research of text classification objects to enhance the quality of text representation
and … First, features that represent classes for documents were achieved. Thereafter, this …

… discussed how representation, sentence scoring or summary selection … Below we discuss
a few classes of summarization … groupings as with general text categorization for a few cases, …

… reported to use a BOW representation of hundreds or thousands … topic-based classification
based on the BOW representation. We … A brief description of these three selected ML methods …

… As document classification is one of the main text mining tasks, a large number of related …
, we briefly review a few representative studies while focusing on document representation …

… Finally, we classify a short text based on the representation of short text … history and historical
event used in our model are helpful for classifying the short text into the correct class history…

… models introduce a hierarchy of representations (segment-wise and document-wise), we …
Because our work builds heavily upon BERT, we provide a brief summary of its features. BERT …