@genaiexp As you advance in text preprocessing, you'll encounter scenarios requiring techniques beyond the basics. Advanced normalization might involve handling domain-specific jargon or applying custom text transformations. Custom tokenization can be employed to parse complex text structures, such as code snippets or log files. Similarly, domain-specific stop words can be identified and removed to enhance feature quality. Handling complex text structures, like nested comments or multi-language documents, demands innovative approaches and potentially customized scripts. By expanding your toolkit with these advanced techniques, you'll be able to tackle diverse text data challenges with greater precision and efficiency.
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