For some papers I released software such as Twitter word2vec embeddings. I also released some implementations of other people's papers.
Word2vec model trained on Twitter
Show & Tell
art blog(derogatory)
Three Goblin Art
d e v o n

ellievsbear
tumblr dot com

PR's Tumblrdome
Peter Solarz
TVSTRANGERTHINGS
styofa doing anything
he wasn't even looking at me and he found me
PUT YOUR BEARD IN MY MOUTH
Aqua Utopia|海の底で記憶を紡ぐ
I'd rather be in outer space 🛸

oozey mess
hello vonnie

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Misplaced Lens Cap

❣ Chile in a Photography ❣
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@datafinity
For some papers I released software such as Twitter word2vec embeddings. I also released some implementations of other people's papers.
Word2vec model trained on Twitter
word2vec-api - Simple web service providing a word embedding model
word2vec pretrained models
word2vec
LDA for online reviews
PyTexas 2015. Introduction to Topic Modeling in Python
Libraries for topic modeling in Python (Gensim, Graphlab (dato), lda, sklearn)
LDA - topic modeling - Python
Probabilistic models Python
In the context of information retrieval and natural language processing, latent variable models are quite useful in modeling and discovering hidden structure that often leads to "semantic" data representations. This talk will provide an overview of the most popular approaches and discuss the range of possible applications for such models, including language modeling, ad hoc retrieval, text categorization and collaborative filtering.
video lecture on Latent Semantic Variable Models
Efficient topic modelling in Python
Gensim tutorials