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Update modules/text_analysis/semantic_analysis.py
Browse files
modules/text_analysis/semantic_analysis.py
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@@ -286,7 +286,7 @@ def create_concept_graph(doc, key_concepts):
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###############################################################################
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def visualize_concept_graph(G, lang_code):
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"""
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Visualiza el grafo de conceptos con layout consistente.
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Args:
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@@ -372,23 +372,21 @@ def visualize_concept_graph(G, lang_code):
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ax=ax
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)
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#################################################################
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#
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sm = plt.cm.ScalarMappable(cmap=plt.cm.viridis, norm=plt.Normalize(vmin=0, vmax=1))
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sm.set_array([])
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plt.colorbar(sm, ax=ax
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# T铆tulo traducido
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plt.title(semantic_t.get('concept_network', 'Concept Network'), pad=20, fontsize=14)
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# Ajustar el layout para que la barra de color no se superponga
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ax.set_axis_off()
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plt.tight_layout()
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return fig
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except Exception as e:
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logger.error(f"Error en visualize_concept_graph: {str(e)}")
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return plt.figure()
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########################################################################
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def create_entity_graph(entities):
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###############################################################################
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def visualize_concept_graph(G, lang_code, semantic_t):
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"""
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Visualiza el grafo de conceptos con layout consistente.
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Args:
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ax=ax
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)
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#################################################################
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# Usar semantic_t para obtener las traducciones
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plt.title(semantic_t.get('concept_network', 'Concept Network'), pad=20, fontsize=14)
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# Leyenda de centralidad (traducida)
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sm = plt.cm.ScalarMappable(cmap=plt.cm.viridis, norm=plt.Normalize(vmin=0, vmax=1))
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sm.set_array([])
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cbar = plt.colorbar(sm, ax=ax)
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cbar.set_label(semantic_t.get('concept_centrality', 'Concept Centrality'))
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ax.set_axis_off()
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plt.tight_layout()
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return fig
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except Exception as e:
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logger.error(f"Error en visualize_concept_graph: {str(e)}")
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return plt.figure()
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########################################################################
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def create_entity_graph(entities):
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