original ) (raw )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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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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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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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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LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis
Sahar Ghannay
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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BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text
Ayush Kumar
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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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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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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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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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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GTH-UPM at TASS 2019: Sentiment Analysis of Tweets for Spanish Variants
Luis D'Haro
2019
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Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Gaurav Singh
ArXiv, 2021
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IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection
Mayank Singh
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
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Sentiment Extraction from Bilingual Code Mixed Social Media Text
Sameen Fatima
Advances in Intelligent Systems and Computing, 2020
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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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EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis
Carlos Gómez-Rodríguez , Miguel Angel Alonso Pardo
Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk and Stelios Piperidis (eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016
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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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Sentiment Identification in Code-Mixed Social Media Text
Satanu Ghosh
ArXiv, 2017
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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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WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers
mahmoud mohamed
ArXiv, 2020
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JU_KS@SAIL_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts
Kamal Sarkar
ArXiv, 2018
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Adapting deep learning for sentiment classification of code-switched informal short text
Muhammad Shakeel
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020
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CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
Radhika Mamidi
2020
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Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches
Pruthwik Mishra
2018
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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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MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text
Fazlourrahman Balouchzahi
FIRE (Working Notes), 2020
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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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NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Arun Jayapal
2020
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