CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text (original) (raw)
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts Using Transformers and Multi-Task Learning
Costin Chiru
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
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De-Mixing Sentiment from Code-Mixed Text
Manish Shrivastava
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2019
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CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis
Harish Tayyar Madabushi
2020
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CS-Embed-francesita at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis
Harish Tayyar Madabushi
ArXiv, 2020
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SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
Björn Gambäck
Proceedings of the Fourteenth Workshop on Semantic Evaluation
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Code-Mixed Sentiment Analysis for Multi-Lingual[Hi-En] Social Media Text
Romax Rajeev
IJCRT - International Journal of Creative Research Thoughts (IJCRT), 2021
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Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings
Els Lefever
2020
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FII-UAIC at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using CNN
Daniela Gifu
2020
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Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Gaurav Singh
ArXiv, 2021
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Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data
Radhika Mamidi
Proceedings of the Fourteenth Workshop on Semantic Evaluation
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Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Elizabeth Sherly
Forum for Information Retrieval Evaluation
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WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers
mahmoud mohamed
ArXiv, 2020
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IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets
Prasenjit Majumder
Proceedings of the Fourteenth Workshop on Semantic Evaluation
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Code-Mixed Sentiment Analysis using Transformer for Twitter Social Media Data
Laksmita Widya Astuti
International Journal of Advanced Computer Science and Applications
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MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text
Fazlourrahman Balouchzahi
2020
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Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages
Nurendra Choudhary
ArXiv, 2018
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NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text Using an Ensemble Model
RINGKI DAS
2020
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IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE
Anita Saroj
2020
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IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text
SUPRIYA CHANDA Res. Scholar, Dept. of Comp. Engg. IIT (BHU)
2020
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Sentiment Classification of Code-Switched Text using Pre-Trained Multilingual Embeddings and Segmentation
Saurav Aryal
Signal, Image Processing and Embedded Systems Trends
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C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering
suraj maharjan
Proceedings of the Fourteenth Workshop on Semantic Evaluation
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HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
Aditya Srivastava
Proceedings of the Fourteenth Workshop on Semantic Evaluation
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Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE: participation of IRLab@IIT(BHU) in Dravidian-CodeMix and HASOC tasks of FIRE2020
Anita Saroj
2021
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Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data
Yashvardhan Sharma
2020
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NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Arun Jayapal
2020
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Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Dhivya Infant
ArXiv, 2021
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ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text
Priya Rani
ArXiv, 2020
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NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier
Antonio Tamayo
2020
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Data-Augmentation for Bangla-English Code-Mixed Sentiment Analysis: Enhancing Cross Linguistic Contextual Understanding
Swakshar Deb
IEEE Access
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