Textual requires Python 3.7 or later, and runs on Linux, macOS, or Windows. Built by Textualize, Textual adds interactivity to the Rich Python library for rich text and formatting in the terminal.

Python is an ideal language for sentiment analysis because it offers a wide range of libraries and tools that can be used to perform text analysis tasks. Python libraries such as Pattern, BERT ...

Rich is a Python library for rich text and beautiful formatting in the terminal. The Rich API makes it easy to add color and style to terminal output. Rich can also render pretty tables, progress bars ...

The simple Python library supports complex analysis and operations on textual data. For lexicon-based approaches, TextBlob defines a sentiment by its semantic orientation and the intensity of each ...

Textblob is an open-source python library for processing textual data. It performs different operations on textual data such as noun phrase extraction, sentiment analysis, classification, translation, ...