Topic Modeling Python project of the corresponding work 'Semantic Text Analysis with focus on Topic Modeling'
(Natural Language Processing, Topic Modeling)
Python implementations for LDA and word2vec with gensim https://radimrehurek.com/gensim/
- Jupyter notebook http://nbviewer.jupyter.org/github/domudev/TopicModeling/blob/master/LDA/LDA.ipynb
- Original algorithm by David M. Blei et al. http://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf
- Original algorithm by Tomas Mikolov et al. https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
- Jupyter notebook (cemoody) http://nbviewer.jupyter.org/github/cemoody/lda2vec/blob/master/examples/twenty_newsgroups/lda2vec/lda2vec.ipynb
- Hybrid framework for topic modeling with LDA and word2vec https://github.com/cemoody/lda2vec
- Presentation of the framework and classification https://www.youtube.com/watch?v=eHcBeVnAiD4
- Research Paper https://arxiv.org/abs/1605.02019