A ConvBiLSTM Deep Learning Model-Based Approach for Twitter Sentiment Classification

A ConvBiLSTM Deep Learning Model-Based Approach for Twitter Sentiment Classification

Being one of the most widely used social media tools, Twitter is seen as an important source of information for acquiring people’s attitudes, emotions, views and feedbacks. Within this context, Twitter sentiment analysis techniques were developed to decide whether textual tweets express a...

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Bibliographic Details
Main Authors: Sakirin Tam, Rachid Ben Said, O. Ozgur Tanriover
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Natural Language Processing
sentiment analysis
CNN
Bi-LSTM
Word2Vec
GloVe
Online Access:https://ieeexplore.ieee.org/document/9373371/

Internet

https://ieeexplore.ieee.org/document/9373371/

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