Learn Text 'Embeddings' with 'Starspace'


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Documentation for package ‘ruimtehol’ version 0.3.2

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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
range.textspace Get the scale of embedding similarities alongside 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