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Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

arXiv 1803.06745 ↗First posted 18 Mar 2018cs.CLcited by 24

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Abstract (arXiv)

Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media. India is a multilingual country; people use more than one languages to communicate within themselves. The switching in between the languages is called code-switching or code-mixing, depending upon the type of mixing. This paper presents overview of the shared task on sentiment analysis of code-mixed data pairs of Hindi-English and Bengali-English collected from the different social media platform. The paper describes the task, dataset, evaluation, baseline and participant's systems.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Mar 2018.

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Citing papers per year: 2021: 9; 2022: 3; 2023: 5; 2024: 4; 2025: 1; 2026: 2.

24 papers.

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  1. 2021L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Datasetcited by 31
  2. 2021Experimental Evaluation of Deep Learning models for Marathi Text Classificationcited by 19
  3. 2024Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settingscited by 14
  4. 2024BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysiscited by 10
  5. 2025CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languagescited by 10
  6. 2021CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixingcited by 8
  7. 2023Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkiencited by 7
  8. 2021Sentiment Analysis of Persian-English Code-mixed Textscited by 6
  9. 2021Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Datacited by 5
  10. 2021GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversationscited by 5
  11. 2021On the logistical difficulties and findings of Jopara Sentiment Analysiscited by 4
  12. 2024What talking you?: Translating Code-Mixed Messaging Texts to Englishcited by 4
12 more
  1. 2021AdvCodeMix: Adversarial Attack on Code-Mixed Datacited by 3
  2. 2023Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Datacited by 3
  3. 2023The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languagescited by 3
  4. 2024Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentencescited by 3
  5. 2022CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Textscited by 2
  6. 2023CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modelingcited by 2
  7. 2022Progressive Sentiment Analysis for Code-Switched Text Datacited by 1
  8. 2026BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and Resourcescited by 1
  9. 2021Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)cited by 0
  10. 2022JU_NLP at HinglishEval: Quality Evaluation of the Low-Resource Code-Mixed Hinglish Textcited by 0
  11. 2023Leveraging Language Identification to Enhance Code-Mixed Text Classificationcited by 0
  12. 2026IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixingcited by 0