Glove.jl

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Implements Global Word Vectors.

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Glove
-----

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Implements [Global Word Vectors](http://nlp.stanford.edu/projects/glove/).

```
using Pkg
Pkg.add("https://github.com/domluna/Glove.jl.git")
```

See `benchmark/perf.jl` for a usage example.

Here's the rough idea:

1. Take text and make a LookupTable. This is a dictionary that has a map
from words -> ids and vice-versa. Preprocessing steps should be taken
prior to this.

2. Use `weightedsums` to get the weighted co-occurence sum totals. This returns
a `CooccurenceDict`.

3. Convert the `CooccurenceDict` to a `CooccurenceVector`. The reasoning for this is faster indexing when we train the model.

4. Initialize a `Model` and train the model with the `CooccurenceVector` using
the `agagrad!` method.

It's pretty fast at this point. On a single core it's roughly 3x slower than the optimized C version.

### TODO

* [  ] More docs.

* [  ] See if precompile(args...) does anything

* [  ] Notebook example ( has to have emojis )

* [  ] Multi-threading

Glove.jl

Glove.jl Latest Version Download

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