Narcotic-related tweet classification in Asia using sentence vector of word embedding with feature extension

Narcotic-related tweet classification in Asia using sentence vector of word embedding with feature extension

Currently, Asia faces a narcotic drug addiction problem. In social networking services, such as Twitter, some drug addicted users converse about behaviours related to narcotic drugs. This research proposes a new Narcotic-related Tweet Classification Model (NTCM) that uses data preprocessing. Two new...

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Bibliographic Details
Main Authors: Narongsak Chayangkoon, Anongnart Srivihok
Format: Article
Language:English
Published: Khon Kaen University 2021-07-01
Series:Engineering and Applied Science Research
Subjects:
data mining
data preprocessing
feature reduction
narcotic drug
text classification
text vectorization
word embedding
Online Access:https://ph01.tci-thaijo.org/index.php/easr/article/download/243616/166483/

Internet

https://ph01.tci-thaijo.org/index.php/easr/article/download/243616/166483/

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