Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

Microblogging sites contain a huge amount of textual data and their classification is an imperative task in many applications, such as information filtering, user profiling, topical analysis, and content tagging. Traditional machine learning approaches mainly use a bag of words or n-gram techniques...

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Bibliographic Details
Main Authors: Md. Aslam Parwez, Muhammad Abulaish, Jahiruddin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Social network analysis
machine learning
deep learning
multi-label classification
word embedding
convolution neural network
Online Access:https://ieeexplore.ieee.org/document/8723320/

Internet

https://ieeexplore.ieee.org/document/8723320/

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