Why It Matters
Foundation for Accurate NLP Models
Text preprocessing ensures the accuracy and efficiency of NLP models. By removing irrelevant data and standardizing text, we help your AI understand language contextually and consistently.
- Symbols, noise, inconsistent formats, special characters, mixed case
- Normalized, tokenized, clean format, standardized, ready for AI
5-Step Preprocessing Pipeline
A comprehensive workflow that transforms raw text into clean, structured data ready for AI processing
01
Text Normalization
Convert to lowercase, remove special characters, standardize formats
02
Tokenization
Break text into words, sentences, or subwords for processing
03
Stopword Removal
Filter out common words that don't add semantic value
04
Lemmatization
Reduce words to their root form for consistent analysis
05
Vectorization
Transform text into numerical representations for ML models
