Implementing NLP Techniques for Text Analysis and Processing in Streamlit

Translation and sentiment analysis are very important techniques used in natural language processing (NLP) for analyzing and processing text data.

Translation is the process of converting text from one language to another. Sentiment analysis is the process of identifying the emotional tone or sentiment of a piece of text. It is used to analyze customer feedback, social media sentiment, and product reviews.

Both of them are powerful techniques that enable NLP applications to process and analyze text data and extract valuable insights from it. In this chapter, we will continue our exploration of web app creation with Streamlit while learning more about the techniques. In the previous chapter, we completed the Text Analysis voice of our web application’s menu, and now, finally, we are ready to finish all the parts of this application.

By the end of the chapter, our first web application will be more...