In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
Convert LaBSE model from TF Hub to PyTorch.
This repository focuses on automatic categorization of documents, involving the assignment of categories to texts based on their content. We will utilize pretrained deep learning models ParsBERT and LaBSE for this purpose.
English-Sinhala multilingual word embedding alignment resources
Align Parallel Sentence of 104 Languages with the help of mBERT and LaBSE
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