Applied Latent Semantic Analysis (LSA) Functions
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Documentation for package ‘LSAfun’ version 0.8.1
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| LSAfun-package | Computations based on Latent Semantic Analysis |
| analogy | Analogy |
| asym | Asymmetric Similarity functions |
| centroid_analysis | Centroid Analysis |
| choose.target | Random Target Selection |
| coherence | Coherence of a text |
| compose | Two-Word Composition |
| conSIM | Similarity in Context |
| Cosine | Compute cosine similarity |
| costring | Sentence Comparison |
| distance | Compute distance |
| genericSummary | Summarize a text |
| multicos | Vector x Vector Comparison |
| multicostring | Sentence x Vector Comparison |
| multidocs | Comparison of sentence sets |
| MultipleChoice | Answers Multiple Choice Questions |
| neighbors | Find nearest neighbors |
| normalize | Normalize a vector |
| oldbooks | A collection of five classic books |
| pairwise | Pairwise cosine computation |
| plausibility | Compute word (or compound) plausibility |
| plot_doclist | 2D- or 3D-Plot of a list of sentences/documents |
| plot_neighbors | 2D- or 3D-Plot of neighbors |
| plot_wordlist | 2D- or 3D-Plot of a list of words |
| Predication | Compute Vector for Predicate-Argument-Expressions |
| priming | Simulated data for a Semantic Priming Experiment |
| SND | Semantic neighborhood density |
| syntest | A multiple choice test for synonyms and antonyms |
| wonderland | LSA Space: Alice's Adventures in Wonderland |