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

Abhilasha Ravichander
Abhilasha Ravichander

CoRR, Volume abs/1705.10900, 2017.

Cited by: 0|Views21
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Abstract:

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. In this work, we...More

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