Papers with cosine similarity measure
Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing (N19-1)
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| Challenge: | Existing methods to estimate document similarity based on word embeddings are mediocre . a recent study compared word and sentence embedded documents to a similarity estimate using matrix norms. |
| Approach: | They propose to combine word embeddings with matrix norms to obtain a similarity estimate. |
| Outcome: | The proposed method produces superior results for most of the investigated matrix norms compared to the classical cosine measure and several other similarity estimates. |