Text extraction
In the intricate world of Natural Language Processing (NLP), before any sophisticated models can analyze sentiment, extract entities, or generate text, a foundational, yet often overlooked, step must occur: text extraction and cleanup. This crucial phase is akin to preparing raw ingredients for a gourmet meal – without proper preparation, even the finest recipes will fall flat. As the provided text aptly highlights, this isn’t typically where NLP algorithms shine, but its flawless execution is paramount to the entire pipeline’s success.
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