rezacsedu/Classification_Benchmarks_Benglai_NLP
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
This project helps social media analysts, content moderators, and market researchers working with Bengali text. It takes Bengali text content – such as social media posts or articles – and classifies it for sentiment, topic, or hate speech. It's designed for those who need to understand or filter large volumes of Bengali written communication.
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Use this if you need to automatically categorize or understand the sentiment and content of Bengali language data, especially for detecting harmful content or analyzing public opinion.
Not ideal if your primary need is for highly resourced languages like English, or if you require real-time processing of very small, informal text snippets with specific domain-specific jargon outside of general social media.
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MIT
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Jul 26, 2021
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