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add viz of top2vec
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README.md

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@@ -231,6 +231,11 @@ nn <- predict(model, newdata = sentences, type = "nearest", which = "sent2doc",
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## Example on top2vec
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Top2vec clusters document semantically and finds most semantically relevant terms for each topic
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![](tools/example-viz.png)
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```r
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library(doc2vec)
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library(word2vec)

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