Enhancing Sentiment Classification in Twitter Data Through Context-Driven Text Processing and Tweet Embeddings-Reference-Cited by-同舟云学术

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Enhancing Sentiment Classification in Twitter Data Through Context-Driven Text Processing and Tweet Embeddings

Published:2023-10-16 Issue: Volume: Page:644-648
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Container-title:2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC)
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Author:

Gerogiannis Vassilis C.¹,Kanavos Andreas²,Antonopoulos Nikos³,Bhola Amrita⁴,Acharya Biswaranjan⁵

Affiliation:

1. University of Thessaly,Department of Digital Systems,Larissa,Greece

2. Ionian University,Department of Informatics,Corfu,Greece

3. Ionian University,Department of Digital Media and Communication,Argostoli,Greece

4. Indira Gandhi Institute of Technology,Sarang,Odisha,India

5. Marwadi University,Department of Computer Engineering- AI & BDA,Rajkot,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10461726/10461727/10461832.pdf?arnumber=10461832

Reference28 articles.

1. Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark

2. Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining;Baccianella,2010

3. An Apache Spark Implementation for Sentiment Analysis on Twitter Data

4. SMOTE: Synthetic Minority Over-sampling Technique

5. BERT: pre-training of deep bidirectional transformers for language understanding;Devlin;CoRR, abs/1810.04805,2018

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