Word embeddings have a wide range of applications in NLP, including text classification, sentiment analysis, named entity recognition, part-of-speech tagging, machine translation, and more.
Word embeddings have a wide range of applications in NLP, including text classification, sentiment analysis, named entity recognition, part-of-speech tagging, machine translation, and more.