![Natural language processing / Computational linguistics / Semantics / Vectors / Machine learning / Latent semantic analysis / Semantic similarity / Distributional semantics / Word embedding / Vector space model / Document-term matrix / Euclidean vector Natural language processing / Computational linguistics / Semantics / Vectors / Machine learning / Latent semantic analysis / Semantic similarity / Distributional semantics / Word embedding / Vector space model / Document-term matrix / Euclidean vector](https://www.pdfsearch.io/img/4d04ede07001e5d3be28ad56bffb8358.jpg) Date: 2016-02-08 08:36:36Natural language processing Computational linguistics Semantics Vectors Machine learning Latent semantic analysis Semantic similarity Distributional semantics Word embedding Vector space model Document-term matrix Euclidean vector | | The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.Add to Reading ListSource URL: www.inf.ed.ac.ukDownload Document from Source Website File Size: 116,64 KBShare Document on Facebook
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