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Using word2vec, we can graph and see our path to self improvement

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word2vec-self-improvement

Using word2vec, we can graph and see our path to self improvement

There are a lot of good guides and tools for exploring word2vec, I'd recommend taking a look at all of them :

https://github.com/dominiek/word2vec-explorer

https://gist.github.com/aneesha/da9216fb8d84245f7af6edaa14f4efa9#file-display_closestwords_tsnescatterplot-ipynb

https://medium.com/explore-artificial-intelligence/word2vec-a-baby-step-in-deep-learning-but-a-giant-leap-towards-natural-language-processing-40fe4e8602ba

https://github.com/pg2455/U.S-Presidential-Speeches

https://matplotlib.org/index.html

Feel free to use the Jupyter Notebook version.

"word2vec-self-improvement.py" is a freestanding Python Application that does the same task. To run it, type

word2vec-self-improvement.py fun carefree tasty wise older loving

Where the first 3 words indicate your current adjectives and the last indicate your goal state.

If you are running it with qsub, (like on the Intel DevCloud), you can just submit the launch file to the que by

qsub launchimprove

This will also download the pre-trained models.

Emjoy!

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