In a project involving customer feedback analysis, which preprocessing step would you prioritize to handle various slangs and abbreviations in the feedback texts?
- Lemmatization
- Stopword Removal
- Text Normalization
- Tokenization
Text normalization is essential for handling slangs and abbreviations. It involves steps like converting text to lowercase, removing special characters, and standardizing abbreviations to ensure uniformity in the data.
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