Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data (original) (raw)

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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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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Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text

Dhivya Infant

ArXiv, 2021

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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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MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text

Fazlourrahman Balouchzahi

2020

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Parameswari_faith_nagaraju@Dravidian-CodeMix-FIRE: A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam

Paramesh Krishna

2020

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Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches

Pruthwik Mishra

2018

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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

Shardul Suryawanshi

2020

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Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

Vigneshwaran Muralidaran

2020

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Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil, Malayalam and English

BalaSundaraRaman Lakshmanan

Dravidian-CodeMix-FIRE2020, 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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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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IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE

Anita Saroj

2020

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Sentiment Analysis in Code-Mixed Telugu-English Text with Unsupervised Data Normalization

Radhika Mamidi

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, 2021

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Machine Learning Techniques for Sentiment Analysis of Code-Mixed and Switched Indian Social Media Text Corpus - A Comprehensive Review

Dr. Anis Ali

International Journal of Advanced Computer Science and Applications, 2022

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Sentiment Analysis of Mixed Code for The Transliterated Hindi and Marathi Texts

Sharvari Govilkar

International Journal on Natural Language Computing

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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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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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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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IRJET- Sentiment Analysis of Code Mixed Text

IRJET Journal

IRJET, 2021

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Developing a Code-Mixed Sentiment Analysis Dataset of Xitsonga-English Music Reviews

Simon Ramalepe

2024

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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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Preprocessing of Aspect-based English Telugu Code Mixed Sentiment Analysis

Journal of Information Technology Management, A Srinagesh

Journal of Information Technology Management (JITM), 2023

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A Machine Learning and DL Approach to Marathi Sentiment Analysis Using Senticnet

RAMNATH M . GAIKWAD, Samadhan M . Nagare, Syed Ahteshamuddin Quadri

2024 IEEE International Conference on Contemporary Computing and Communications (InC4), 2024

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Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages

Nurendra Choudhary

ArXiv, 2018

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DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text

Elizabeth Sherly

ArXiv, 2021

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