… , 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 enhanced text document representation system was developed to work on the issues
of … provided a detailed review of the complete process of the text classification system. This …

… 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 …

… are written to provide a succinct and comprehensive summary of the paper.As such, we encode
the … For document classification, we report macro F1, a standard classification metric. We …

… To achieve this, the words of the instances are translated into a latent representation space,
… and are, thus, near in the representation space, implies that the newly created instances …

… can be classified as single-document or multi-document … text summarization approach
represents the input document(s) in an intermediate representation and the output summary is …

… in ML and DL methods for text classification. A brief summary of baseline models is also …
Word embedding is a popular way to represent the vocabulary of a text document. Words of …

… because they allow to represent more accurately items and user’s interests. In this paper, we
… d i s is a distance measure, c l a s s ( i ) and c l a s s ( j ) represent the classes of items i and j…

… and subdivision of the classification system. The contribution of this survey is that it traces the
… paper will examine the text representation, which represents the text as numerical features …

… be impossible in one review. This work deals almost exclusively with the representation of
small … An overview of the different classes of molecular representation can be seen in Figure 1. …