What are the NLP projects built using TensorFlow?

Natural language processing (NLP) is a rapidly growing field of computer science that uses machine learning and deep learning to process large amounts of text data. With the help of TensorFlow, developers have been able to build powerful NLP projects that can be used for various applications such as sentiment analysis, text classification, question answering systems and so on. Sentiment Analysis: Sentiment analysis is one of the most popular application areas for NLP using TensorFlow. It involves understanding natural language in terms of its underlying emotions or attitudes expressed by people through their words or expressions. By leveraging advances in deep learning technology like convolutional neural networks (CNNs) along with word embeddings from pre-trained models like GloVe and Word2Vec, developers are able to accurately classify texts according to its sentiment polarity into positive/negative classes without having any prior knowledge about the domain it belongs too .