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