Published November 22, 2018
| Version v1
Dataset
Open
Time shifting word2vec models from Times
Description
Time-shifting word2vec models based on Times news paper. These models were generated using the "Generate time shifting models" scripts found here.
In summary, these scripts generate a collection of sentences for every 2 years period, and trains a word2vec model on this period using gensim. The original text from the Times news paper articles is processed as follows:
- Articles are divided into sentences using punctuation.
- Punctuation symbols are removed.
- Text is converted to lower case.
- Word are validated to ensure they are valid English non-stop words (using nltk).
The two year time period was selected following the Measure convergence for a range described here.
This data publication was made possible thanks to collaboration with the Utrecht Digital Humanities Lab.
Unfortunately original Times data set is not publicly available.
Files
Files
(4.6 GB)
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46.1 MB | Download |
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md5:afe9b4a5955d039e9410a386240d58c2
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1.3 MB | Download |
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md5:ea68b2808664f1521554a1a1f40a1a2d
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46.4 MB | Download |
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md5:7c1d10ba0d273b21b8af5906fdfbc6b2
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1.4 MB | Download |
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md5:04e4d741c36a550fb2b28eedad55d405
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47.4 MB | Download |
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md5:ae9b79ad5add7b4976450f01e734670c
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1.4 MB | Download |
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md5:366f18e477fc7f4782c99b246e3a272c
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47.9 MB | Download |
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md5:4385182f18171b8878d42cab07d75bd5
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1.4 MB | Download |
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md5:875a26e08e8669dca4b4577a58d2a8b0
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47.2 MB | Download |
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md5:c6e42ee4903bb2e05649098f02dd0cb7
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1.3 MB | Download |
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md5:07d8b0877effa11816a672fadc2b517a
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45.9 MB | Download |
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md5:1ba8142de97c5f1d4b12c39bb7f7b205
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1.3 MB | Download |
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md5:bf26271014ff0ae8e98b45df1663c175
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45.4 MB | Download |
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md5:a4d3f2bb187760a898c5f0729e0f97f3
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1.3 MB | Download |
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md5:fbaf57418f8ae20809e559aec1a55606
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44.9 MB | Download |