Tokenization

Tokenization segments continuous text into individual units (tokens), typically words, converting unstructured text into structured format for computational analysis.

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Options

• Lowercase: Convert all text to lowercase to treat "Text" and "text" as identical
• Remove Punctuation: Strip punctuation marks like periods, commas, quotes
• Remove Numbers: Eliminate numeric digits (keep for technical texts)
• Remove Symbols: Remove special characters (@, #, $, etc.)
• Remove URLs: Identify and remove web addresses

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Usage

Select preprocessing options based on the analysis goals. Sentence segmentation splits text into sentences before tokenization when sentence structure is important (e.g., sentiment analysis).

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