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Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network
[article]
2020
arXiv
pre-print
Due to the increasing amount of data on the internet, finding a highly-informative, low-dimensional representation for text is one of the main challenges for efficient natural language processing tasks including text classification. This representation should capture the semantic information of the text while retaining their relevance level for document classification. This approach maps the documents with similar topics to a similar space in vector space representation. To obtain
arXiv:2006.00572v1
fatcat:sgufkdhb2rfmxfz7ziovdxzkmm