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Concept
Probabilistic Model
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Concept
Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis
(PLSA) is a
statistical technique
used to analyze
co-occurrence data
, often applied in
natural language processing
to uncover the underlying
semantic structure
of a corpus. It models the
relationship between documents and words
through a
probabilistic framework
, providing a more
nuanced understanding
than
traditional Latent Semantic Analysis
by incorporating uncertainty and
variability in topic distribution
.
Concept
Naive Bayes Classifier
Naive Bayes Classifier
is a simple yet effective
probabilistic machine learning model
used for
classification tasks
, based on applying
Bayes' theorem
with the 'naive' assumption of
independence between features
. This assumption allows it to work efficiently with
large datasets
and provides
competitive performance
for tasks such as
text classification
despite its simplicity.
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