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Abstract: The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms.

First open-source LoRA fine-tuning of BanglaSenti on XLM-RoBERTa-base for Bengali sentiment analysis, trained with Google Cloud TPUs. Includes code, configs, and reproducible results.

Opus 4.7 utilizes an updated tokenizer that improves text processing efficiency, though it can increase the token count of certain inputs by 1.0–1.35x.