Published October 16, 2020 | Version 2

Augmenting Semantic Representation of Depressive Language: from Forums to Microblogs

  • 1. University of Alberta

Description

Here we share our Adjusted Twitter word Embedding (ATE) and Depression Specific word Embedding (DSE) as described in our paper "Augmenting Semantic Representation of Depressive Language: from Forums to Microblogs", in the following formats respectively:

  • ATE-Embedding.p is a pickle file which contains a Python dictionary of words and their corresponding vectors.
  • DSE-Embedding.bin is a Gensim Word2Vec file and should be loaded using Gensim library (the files with .npy extensions are required to do this.)
  • Example code for loading DSE-Embedding using Gensim: Word2Vec.load(embedding_path), tested on Gensim-3.8

Please do cite our paper if you use our embedding or the idea of creating them.

Files

Files (10.1 GB)

Name Size
md5:dded83386d102cf5e46b564a846033d5
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md5:06bd18d508f512ad4a4f3e428716c0a8
1.9 MB Download
md5:e3275b238738b4e3af0042f3d148d57b
47.9 MB Download
md5:2ec62c56dd5b132dacc6c35658eed068
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