Hi Paul, I cannot compare it to SemanticVectors as I don't know SemanticVectors. But word vectors that are produced by word2vec have interesting properties.
Here is the description of the original word2vec web site: https://code.google.com/p/word2vec/#Interesting_properties_of_the_word_vectors Interesting properties of the word vectors It was recently shown that the word vectors capture many linguistic regularities, for example vector operations vector('Paris') - vector('France') + vector('Italy') results in a vector that is very close to vector('Rome'), and vector('king') - vector('man') + vector('woman') is close to vector('queen') Thanks, Koji (2014/11/20 20:01), Paul Libbrecht wrote: > Hello Koji, > > how would you compare that to SemanticVectors? > > paul > > On 20 nov. 2014, at 10:10, Koji Sekiguchi <k...@r.email.ne.jp> wrote: > >> Hello, >> >> It's my pleasure to share that I have an interesting tool "word2vec for >> Lucene" >> available at https://github.com/kojisekig/word2vec-lucene . >> >> As you can imagine, you can use "word2vec for Lucene" to extract word >> vectors from Lucene index. >> >> Thank you, >> >> Koji >> -- >> http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > > -- http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html
