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Along with text generation it can also be used to text classification and text summarization. It combines techniques from computationallinguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language.
Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. eks-create.sh This will create one instance of each type.
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