Learning Topics using Semantic Locality

Krittaphat Pugdeethosapol
Krittaphat Pugdeethosapol
Caiwen Ding
Caiwen Ding

ICPR, pp. 3710-3715, 2018.

Cited by: 2|Views14
EI

Abstract:

The topic modeling discovers the latent topic probability of the given text documents. To generate the more meaningful topic that better represents the given document, we proposed a new feature extraction technique which can be used in the data preprocessing stage. The method consists of three steps. First, it generates the word/word-pair...More

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