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
Monterey Bay Aquarium
noise dept.
The Bowery Presents
RMH
Noah Kahan
almost home
Lint Roller? I Barely Know Her

roma★

Kiana Khansmith
No title available

Origami Around
Today's Document
Xuebing Du

#extradirty
PUT YOUR BEARD IN MY MOUTH
he wasn't even looking at me and he found me

PR's Tumblrdome
𓃗
TVSTRANGERTHINGS

@theartofmadeline

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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