Scikit-learn is a popular machine learning library in Python that offers various algorithms for text classification and sentiment analysis.

This project performs sentiment analysis on Amazon reviews to determine whether they are positive or negative. It utilizes Python, machine learning algorithms, and the Natural Language Toolkit (NLTK) ...

7. scikit-learn A standalone Python library on Github, scikit-learn was originally a third-party extension to the SciPy library. While it is especially useful for classical machine learning algorithms ...

1 Why Python for sentiment analysis? Python is a versatile and powerful language that has many libraries and tools for data mining, natural language processing, machine learning, and visualization.

A popular Python machine-learning library for sentiment analysis and other predictive modeling applications is called Scikit-learn. It is well-known for its wide range of algorithms and supports ...

Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...

Fundamentally, a sentiment refers to the reflection of emotions of people. Today's world stands on the strings of emotions. People express happiness, sadness, love, hatred etc. through some actions.