# Sentiment analysis (Basic, not directly available in spaCy) # For sentiment, consider using a dedicated library like TextBlob or VaderSentiment # sentiment = TextBlob(text).sentiment.polarity
def process_text(text): doc = nlp(text) features = [] # Sentiment analysis (Basic, not directly available in
import spacy from spacy.util import minibatch, compounding # Sentiment analysis (Basic
# Simple feature extraction entities = [(ent.text, ent.label_) for ent in doc.ents] features.append(entities) ent.label_) for ent in doc.ents] features.append(entities)