Textual analysis is one of the most widely used applications of deep learning. It is the key to teach machines to interact like humans by making them comprehend the contextual meaning from a text. This is an active field of research in deep learning. Many word embeddings have been developed like Glove, Word2Vec, BERT that helps a deep learning model to capture the semantic, syntactic context of a word/phrase or sentence.This technology is rapidly improving the quality of text processing techniques like text summarisation, translation, generation, sentiment analysis, spell checker, plagiarism checker etc.
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