Multilingual-Sentiment-Analysis-Hate-speech-Hinglish-

1. Developed a machine learning model for multilingual sentiment analysis, specifically targeting hate speech in Hinglish tweets.
2. Model classifies tweets into positive, negative, and neutral sentiments, providing a sentiment score for each using supervised learning algorithms and ensemble model.
3. Work is culminated in the publication of a research paper in the SCPE journal, showcasing the model's effectiveness and innovation in handling codemixed language data.
4. Research Paper Link : https://www.scpe.org/index.php/scpe/article/view/2375