SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysis
Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several datasets have been build with the goal of training computational models for code-mixing. Although it is very common to observe code-mixing with multiple languages, most datasets available contain code-mixed between only two languages. In this paper, we introduce SentMix-3L, a novel dataset for sentiment analysis containing code-mixed data between three languages Bangla, English, and Hindi. We carry out a comprehensive evaluation using SentMix-3L. We show that zero-shot prompting with GPT-3.5 outperforms all transformer-based models on SentMix-3L.
Code (1)
Tasks
Sentiment AnalysisMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi
One of the most popular downstream tasks in the field of Natural Language Processing is text classification. Text classification tasks have become more daunting when the texts are code-mixed. Though they are not exposed …
Language ModelingLanguage Modellingtext-classificationText Classification+1BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis
The widespread availability of code-mixed data can provide valuable insights into low-resource languages like Bengali, which have limited datasets. Sentiment analysis has been a fundamental text classification task acros…
DiversitySentiment AnalysisSentiment Classificationtext-classification+1EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection
Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and performing downstream NLP tasks on code…
OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification
Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several works have been conducted on building datasets and performing downstream NLP tasks on code-mixed data. A…
Language IdentificationAggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVM
This paper presents the results of the classifiers we developed for the shared tasks in aggression identification and misogynistic aggression identification. These two shared tasks were held as part of the second worksho…
Aggression IdentificationMisogynistic Aggression Identification