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“JNTUH”

Sentiment Analysis of Telugu–English Code-Mixed Social-Media Text: Multilingual Transformers vs BiLSTM Baselines
@mtech-aiml-telugu-english-code-mixed-sentiment
M.Tech / M.E.
A new annotated Telugu–English corpus with measured agreement, and an honest benchmark of TF-IDF+SVM, BiLSTM, mBERT, XLM-R and MuRIL
Free preview
- Python
- PyTorch
- Hugging Face Transformers (industry-standard)
- scikit-learn
- +3
Artificial Intelligence & Machine Learningadvanced24 weeksTelanganaCode
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