👉 Tokenization is a process of breaking down text into smaller, manageable units called tokens. This can be done for various purposes such as natural language processing (NLP), machine translation, and web scraping. In NLP, tokenization helps in reducing large documents or texts to smaller pieces that can be processed by algorithms more efficiently. For instance, in sentiment analysis tasks, we might want to break down a review text into sentences for further analysis. In machine translation, tokenization is used to convert words
