Package index
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align_embeddings() - Align Two Embeddings Models
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average_embedding() - Average Embeddings
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emb() - Retrieve Token Embeddings
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embed_docs()textstat_embedding() - Get Text Embeddings by Averaging Word Embeddings
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embed_tokens() - Get Embeddings of Tokens in a Text or Corpus
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`rownames<-`(<embeddings>)`dimnames<-`(<embeddings>)unique(<embeddings>)t(<embeddings>)rbind(<embeddings>)as.matrix(<embeddings>)as_tibble(<embeddings>) - Methods for Embeddings Objects
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`[`(<embeddings>)`[<-`(<embeddings>)subset(<embeddings>) - Extract or Subset Parts of Embeddings Objects
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embeddings()as.embeddings()is.embeddings() - Embeddings Objects
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find_nearest() - Find Nearest Tokens in Embedding Space
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format(<embeddings>) - Formatting and Printing for Embeddings Objects
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get_sims() - Row-wise Similarity and Distance Metrics
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glove_twitter_25d - 25-d GloVe Model Pretrained on Twitter (subset)
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load_embeddings() - Load Pretrained GloVe, word2vec, and fastText Embeddings
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magnitude() - Magnitude of Embeddings
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normalize()normalize_rows() - Scale Embeddings to the Unit Hypersphere
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project_points_onto_line() - Additional Vector Utilities
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read_embeddings() - Read Embeddings From a Text or Binary File
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reduce_dimensionality() - Reduce the Dimensionality of Embeddings
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sim_matrix() - Pairwise Similarity or Distance Matrix
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dot_prod()cos_sim()euc_dist()minkowski_dist()anchored_sim() - Similarity and Distance Metrics
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total_dist()average_sim() - Compare Two Embedding Models