In today’s data-driven world, understanding the sentiment behind some text is crucial for making informed decisions. By sentiment analysis we mean working out whether tone the writer was using in their text could be categorized as angry, happy, sad, enthusiastic and so on. Imagine a powerful desktop application that instantly classifies text as neutral, positive, or negative. A feedback form…
Do you want to perform Natural Language Processing tasks like part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, etc. in your GUI app? This post will get you to understand how to use TextBlob Python Library using Python4Delphi…
