EMPOLITICON: NLP and ML Based Approach for Context and Emotion Classification of Political Speeches From Transcripts-Reference-Cited by-同舟云学术

EMPOLITICON: NLP and ML Based Approach for Context and Emotion Classification of Political Speeches From Transcripts

Published:2023 Issue: Volume:11 Page:54808-54821
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Efat Azher Ahmed¹^ORCID,Atiq Asif¹^ORCID,Abeed Abrar Shahriar¹^ORCID,Momin Armanul¹,Alam Md. Golam Rabiul¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10141612.pdf?arnumber=10141612

Reference26 articles.

1. Sentiment Analysis of Turkish Political News

2. Sentiment analysis by identifying the speaker’s polarity in Twitter data;algur;Proc Int Conf Elect Electron Commun Comput Optim Techn (ICEECCOT),2017

3. Emotion Recognition from Text Stories Using an Emotion Embedding Model

4. A combined SVM and LDA approach for classification

5. Sentiment Analysis of Facebook Users Reacting to Political Campaign Posts

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