In document classification, each document has to be coverted from full text to a document vector. True or False
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Yes, True. In Document classification, each document has to be converted from full text to a document vector.
- A Document is nothing but a group of tokens.
- Every supervised machine learning algorithm requires each and every textual document to be represented in the form of a vector to start training.
- Docvec2 is entirely different from tf-idf which uses the three layered shallow deep neural network to gauge the context of the document and relate similar context phrases together.
- For quality dataset, it will lead to good feature genertion.
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