Update modules/text_analysis/semantic_analysis.py

modules/text_analysis/semantic_analysis.py

@@ -63,9 +63,10 @@ ENTITY_LABELS = {
     }
 }
 
-def identify_key_concepts(doc):
-    word_freq = Counter([token.lemma_.lower() for token in doc if token.pos_ in ['NOUN', 'VERB'] and not token.is_stop])
-    return word_freq.most_common(10)  # Top 10 conceptos clave
+def identify_key_concepts(doc, top_n=10):
+    # Identificar sustantivos, verbos y adjetivos más frecuentes
+    word_freq = Counter([token.lemma_.lower() for token in doc if token.pos_ in ['NOUN', 'VERB', 'ADJ'] and not token.is_stop])
+    return word_freq.most_common(top_n)
 
 def create_concept_graph(text, concepts):
     vectorizer = TfidfVectorizer()