Day 3: Tokenization and stopword removal
Tokenization and stop word removal are two important steps in pre-processing text data for natural language processing (NLP) tasks. These steps help to prepare the text data for further analysis, modelling, and modelling training. Tokenization is the process of breaking down a larger piece of text into smaller units, called tokens, which can then be…Read More
What is Tokenization in NLP?
Tokenization Do you heard this term before? Are you familiar with this term? If not, do not worry, I’ll explain this in an easy way. Suppose I’ve one document. In document, I can have multiple paragraph, sentences and words. For simplicity, suppose I’ve only one paragraph. Now i want to break this paragraph into words.…Read More