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
Claire Keane
we're not kids anymore.
ojovivo
Jules of Nature
PUT YOUR BEARD IN MY MOUTH
taylor price
I'd rather be in outer space πΈ

Origami Around
hello vonnie
Misplaced Lens Cap
sheepfilms

romaβ

β
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One Nice Bug Per Day

Kaledo Art

oozey mess

pixel skylines

ellievsbear

seen from China
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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

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word2vec-api - Simple web service providing a word embedding model
word2vec pretrained models
word2vec
LDA for online reviews

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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 onΒ Latent Semantic Variable Models

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Efficient topic modelling in Python
Gensim tutorials