# Learn Text 'Embeddings' with 'Starspace'

## Documentation for package ‘ruimtehol’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

dekamer | Dataset from 2017 with Questions and Answers in the Belgium Federal Parliament
dekamer_theme_terminology | Dataset containing relevant terminology for each theme of the 'dekamer' dataset
embedding_similarity | Cosine and Inner product based similarity
embed_articlespace | Build a Starspace model for learning the mapping between sentences and articles (articlespace)
embed_docspace | Build a Starspace model for content-based recommendation
embed_entityrelationspace | Build a Starspace model for entity relationship completion
embed_pagespace | Build a Starspace model for interest-based recommendation
embed_sentencespace | Build a Starspace model to be used for sentence embedding
embed_tagspace | Build a Starspace model to be used for classification purposes
embed_wordspace | Build a Starspace model which calculates word embeddings
predict.textspace | Predict using a Starspace model
starspace | Interface to Starspace for training a Starspace model
starspace_dictionary | Get the dictionary of a Starspace model
starspace_embedding | Get the document or ngram embeddings
starspace_knn | K-nearest neighbours using a Starspace model
starspace_load_model | Load a Starspace model
starspace_save_model | Save a starspace model as a binary or tab-delimited TSV file