research product . 2016

Hash2Vec: Feature Hashing for Word Embeddings

Argerich, Luis; Cano, Matías J.; Torre Zaffaroni, Joaquín;
Open Access English
  • Published: 01 Sep 2016
  • Country: Argentina
In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like document classification. In this work we show that feature hashing can be applied to obtain word embeddings in linear time with the size of the data. The results show that this algorithm, that does not need training, is able to capture the semantic meaning of words.We compare the results against GloVe showing that they are similar. As far as we know this is the first application of feature hashing to the word embeddings problem and the results indicate th...
free text keywords: Ciencias Informáticas, feature hashing, word embedding, Natural Language Processing
Related Organizations
Digital Humanities and Cultural Heritage
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