https://github.com/chrisdavies/Sparc.TagCloud
사용법은 아래와 같이 심플 하다.
var analyzer = new TagCloudAnalyzer();
// blogPosts is an IEnumerable<String>, loaded from
// the database or whatevz.
var tags = analyzer.ComputeTagCloud(blogPosts);
// Shuffle the tags, if you like for a random
// display
tags = tags.Shuffle();
해당 프로젝트의 특징은 tag(word)를 간소화 해주는것이 특징이다.
Example sentence lemmatized
WORD ==> LEMMA
On ==> on
the ==> the
other ==> other
hand ==> hand
inflectional ==> inflectional
paradigms ==> paradigm
or ==> or
lists ==> list
of ==> of
inflected ==> inflect
forms ==> form
of ==> of
typical ==> typical
words ==> word
such ==> such
as ==> as
sing ==> sing
sang ==> sing
sung ==> sing
sings ==> sing
singing ==> sing
singer ==> singer
singers ==> singer
song ==> song
songs ==> song
songstress ==> songstress
songstresses ==> songstress
in ==> in
English ==> english
need ==> need
to ==> to
be ==> be
analyzed ==> analyze
according ==> accord
to ==> to
criteria ==> criterion
for ==> for
uncovering ==> uncover
the ==> the
underlying ==> underlie
lexical ==> lexical
stem ==> stem
https://www.slideshare.net/MinwookChang/dynamic-word-cloud-using-word2vec-final-presentation
https://github.com/fromme0528/DataScience_Word2Vec
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