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Application of topic models for topic extraction and similarity search

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Natural Language Processing (NLP) using Topic Modeling

Application of topic model with special focus on German texts.

Datasets:

Algorithms:

  • TODO LSI - Latent Semantic Indexing (SVD)
  • LDA - Latent Dirichlet Allocation
  • TODO NMF - Non-negative Matrix Factorization

Tools:

Useful and inspirational resources

Topic Modeling Tutorials

About: Building, Evaluating, Visualizing Topic Models

Topic Models applied on Wikipedia

Other NLP

Research

Data Sources

Bibliography

LDA

  • David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet Allocation. In: Journal of Machine Learning Research, 2003

Sentiment

  • R. Remus, U. Quasthoff & G. Heyer: SentiWS - a Publicly Available German-language Resource for Sentiment Analysis. In: Proceedings of the 7th International Language Ressources and Evaluation (LREC'10), pp. 1168-1171, 2010

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