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Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions.
Junaid Abdul Wahid
Lei Shi
Yufei Gao
Bei Yang
Yongcai Tao
Lin Wei
Shabir Hussain
Published in:
PeerJ Comput. Sci. (2021)
Keyphrases
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topic models
textual data
latent dirichlet allocation
feature extraction
information extraction
dimensionality reduction
face recognition
text mining
textual information
feature space
low level
probabilistic model
data sets
co occurrence
image features
spatial information
structured data
machine learning
databases