Hybrid deep learning approach to improve classification of low-volume high-dimensional data Full Text
In the pre-processing phase for these datasets, we use the tokenization technique. Tokenization is a method to segregate a particular text into small chunks or tokens. Each text input is converted into a sequence of integers that has a coefficient for each token. The tokenizer function is fitted on the text with 10,000 maximum words,