In our modern life, different branches of Neural Networks (NNs) and Natural language processing (NLP) are getting more useful. Natural language processing (NLP) is a process to extract the desired goal from the texts created by translations, speech, auto-captioning, and searching. The classification of the texts is the main role in processing natural language. Active Learning (AL) is a subset in Deep Learning that a model (learning algorithm) can query a user operator to label data while the learning process is going on. In Active Learning, we can increase the learning algorithm’s performance by implementing Neural Networks text classification performance…

Mirsaeid Abolghasemi

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