SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets-Reference-Cited by-同舟云学术

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SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fourteenth Workshop on Semantic Evaluation
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Author:

Patwa Parth,Aguilar Gustavo,Kar Sudipta,Pandey Suraj,PYKL Srinivas,Gambäck Björn,Chakraborty Tanmoy,Solorio Thamar,Das Amitava

Publisher

International Committee for Computational Linguistics

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-12

2. SentPT: A customized solution for multi-genre sentiment analysis of Portuguese-language texts;Expert Systems with Applications;2024-07

3. LoRA-Enhanced Language Alignments for Robust Code-Mixed Text Representation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Multimodal sentiment analysis of english and hinglish memes;Multimedia Tools and Applications;2024-06-20

5. SES-Net: A Novel Multi-Task Deep Neural Network Model for Analyzing E-learning Users’ Satisfaction via Sentiment, Emotion, and Semantic;International Journal of Human–Computer Interaction;2024-06-06

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