Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...
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4 Python scripts that supercharged my NotebookLM workflow
Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
Are you working on a writing project and need to keep track of your character and word counts? Or maybe you're a developer who wants to add file analysis capabilities to your Python scripts? Either ...
1 Guangdong Power Grid Limited Liability Company, Guangdong, China 2 School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China With the advancement of source-load ...
Abstract: Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper ...
We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2) ...
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