def latent_semantic_analysis(self, dimensions=NORM):
        self._lsa = LSA(self, k=dimensions)
        self._cos = {}
        return self._lsa
Creates LSA concept vectors by reducing the vector space's dimensionality.
dataset/ETHPy150Open clips/pattern/pattern/vector/__init__.py/Model.latent_semantic_analysis