Description Usage Arguments Details Examples

Shiny application to interactively play with embeddings. User provides a pivot word and the n most similar word are projected on a scatter plot.

1 2 | ```
interactive_embedding_exploration(annoy_model, default_number_neighbors = 100,
default_number_rounds = 500, default_perplexity = 30)
``` |

`annoy_model` |
RcppAnnoy model generated with get_annoy_model |

`default_number_neighbors` |
set the number of neighbors slider to this value |

`default_number_rounds` |
set the number of |

`default_perplexity` |
set the |

For large list of texts, the auto-complete can be slow.

Increasing the number of neighbors can make things very slow,
in particular with `T-SNE`

approach.
500 neighbors is usually a good value to have an understanding
of the neighborhood of a vector.

Colors in the scatter plot represents clusters found by dbscan.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
if(interactive()){
# This example should be run with a higher quality model
# than the one embedded in fastrtext
library(projector)
library(fastrtext)
model_test_path <- system.file("extdata",
"model_unsupervised_test.bin",
package = "fastrtext")
model <- load_model(model_test_path)
word_embeddings <- get_word_vectors(model, words = head(get_dictionary(model), 2e5))
annoy_model <- get_annoy_model(word_embeddings, 5)
interactive_embedding_exploration(annoy_model)
}
``` |

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