Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations

31 May 2017Paul MichelAbhilasha RavichanderShruti Rijhwani

We investigate the pertinence of methods from algebraic topology for text data analysis. These methods enable the development of mathematically-principled isometric-invariant mappings from a set of vectors to a document embedding, which is stable with respect to the geometry of the document in the selected metric space... (read more)

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