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Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. This early research was not about designing a system but exploring the fundamentals of Artificial NeuralNetworks. Both contain self-attention mechanisms and feed-forward neuralnetworks.
On the other hand, Sentiment analysis is a method for automatically identifying, extracting, and categorizing subjective information from textual data. Sentiment Analysis Using Simplified Long Short-term Memory Recurrent NeuralNetworks. The 49th Annual Meeting of the Association for ComputationalLinguistics (ACL 2011).
Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computationallinguistics, computer science, and artificial intelligence. Supported tools include a Name finder, Tokenizer, Document categorization, POS tagger, Parser, Chunker, and Sentence detector.
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