A Transformer Based Model for Twitter Sentiment Analysis using RoBERTa-Reference-Cited by-同舟云学术

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A Transformer Based Model for Twitter Sentiment Analysis using RoBERTa

Published:2023-12-13 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
language:
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Author:

Abdal Md. Nazmul¹,Oshie Most. Humayera Kabir²,Haue Md. Azizul¹,Islam Khairum³

Affiliation:

1. Khulna University,Computer Science and Engineering Discipline,Khulna,Bangladesh,9208

2. Jahangirnagar University,Department of Computer Science and Engineering,Savar,Bangladesh,1342

3. East West University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441627.pdf?arnumber=10441627

Reference21 articles.

1. Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach

2. Sentiment Analysis of Twitter Data

3. Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions

4. A Review on Twitter Sentiment Analysis Approaches

5. BERT Models for Arabic Text Classification: A Systematic Review

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