All functions
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RsemanticLibrarian-package
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A short title line describing what the package does |
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cosine_x_to_m()
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Cosine vector to matrix |
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get_article_article_similarities()
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Compute similarity between an abstract and all other abstracts |
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get_author_similarities()
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Compute Similarities between one author, and all other authors |
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get_mds_article_fits()
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Multidimensional scaling for article similarity |
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get_mds_author_fits()
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Multi-dimensional scaling for author similarity |
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get_search_article_similarities()
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Similarities between term vector and article vector |
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get_search_terms()
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Get search terms in dictionary |
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normalize_vector()
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Normalize a vector by max absolute value |
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sl_article_vectors()
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Create article vectors from word vectors |
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sl_author_vectors()
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Create author vectors |
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sl_beagle_vectors()
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Create BEAGLE vectors for words |
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sl_clean()
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Clean words to lowercase etc. |
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sl_clean_vector()
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Clean a vector of sentences |
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sl_corpus_dictionary()
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Get all unique words from corpus |
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sl_create_riv()
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Create random index vectors |
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sl_semantic_space()
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Create semantic space from article dataframe |
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sl_word_ids_sentences()
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Get indexes for each word in sentence |
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wrap_string()
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Wrap a string |