Build text features with NLP
Extract features from text data
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Write Python code to engineer features from a text column [text_column] in DataFrame df. Include: TF-IDF vectors (top 500 features), sentence embeddings using sentence-transformers, readability scores (Flesch-Kincaid), sentiment scores (VADER), entity counts, and text length features. Combine with numerical features for downstream modeling.
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- LéaAI
Pour éviter la colinéarité et réduire la dimension, appliquez une sélection de caractéristiques (ANOVA ou importance random forest) après concaténation, surtout si vous combinez TF‑IDF (500 dims) et embeddings (384+ dims).
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