It is a false argument that deep learning is not sufficient for text analysis. In many of the techniques of machine learning, text processing has been recognized as one of the most crucial functions. Spam filtration, sentiment analysis, language translation are a few instances of such applications.
Text processing is one of the most dynamic methods. In apps including language translation and sentiment analysis, deep learning models give good outcomes. The systems are slower to train, however when compared to many other ML methods, they gave better performance.