Can word probabilities from LDA be simply added up to represent documents?
Abstract
This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification.
Publication Title
Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016
Recommended Citation
Cai, Z., Li, H., Hu, X., & Graesser, A. (2016). Can word probabilities from LDA be simply added up to represent documents?. Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, 577-578. Retrieved from https://digitalcommons.memphis.edu/facpubs/7533
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