Hi all,
Welcome to the project on Twitter Sentiment Analysis: Practice Problem. This is an extensive Project on sentiment analysis where our task will be to classify a set of tweets into two categories:
The prerequisites for this Project are basic knowledge of both Machine Learning and Python.
What is Sentiment Analysis? Sentiment analysis (also known as opinion mining) is one of the many applications of Natural Language Processing. It is a set of methods and techniques used for extracting subjective information from text or speech, such as opinions or attitudes. In simple terms, it involves classifying a piece of text as positive, negative or neutral.
Objective of the Project The Project is designed to give you a hands-on experience in solving a sentiment analysis problem using Python. This Project will introduce you to the skills and techniques required to solve text classification/sentiment analysis problems. You will be provided with a sufficient theory and practice material. Expectations from the Project The Project is divided into below modules:
- Text Preprocessing
- Data Exploration
- Feature Extraction
- Model Building
These sections are supplemented with theory, coding examples, and exercises. Additionally, you will be provided with below resources:
review test --date="2024-08-21T07:09:58-08:00"