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Handling Bahasa Rojak (Malaysian Code Mixing Language) OOV and performing Sentiment Analysis using downstreamed XLM-R

Jupyter Notebook 100.00%
bahasa-melayu chinese-simplified code-mixing domain-adaptation fine-tuning out-of-vocabulary sentiment-analysis sentiment-classification transfer-learning twitter

bahasarojaksentimentanalysis's Introduction

BahasaRojakSentimentAnalysis

Handling Bahasa Rojak (Malaysian Code Mixing Language) OOV and performing Sentiment Analysis using downstreamed Cross Lingual Model XLM-RoBERTa (XLM-T)

Jupyter Notebooks includes detailing of:

  1. Text Preprocessing
  2. Model Fine Tuning
  3. New Data Inference Pipeline

For further resources regarding the project, please access link below.

Access the project here: https://drive.google.com/drive/folders/12Uir9KE4B1VL6oQWdj2BWvCUZOC0vWa2

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