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Text preprocessing is a crucial step in many natural language processing (NLP) tasks, such as sentiment analysis, text summarization, and machine translation. It involves transforming raw text ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

First, a summary of the importance and role of text analysis in information retrieval is presented. The study then looks at text pre‐processing methods such as tokenization, stemming, and stop‐word ...

To address this limitation, this research proposes a novel framework for depression detection that integrates advanced text preprocessing with a deep learning model. The preprocessing pipeline ...