Top 9 Practical Projects for Data Science Beginners


Find out the percentage of positive, negative, and neutral tweets.


As a continuation of the previous step, it is important to mention that the tweets should be collected with the help of the Twitter API.

It is also important to clean data by tokenization and eliminate words that do not reflect the actual sense of the context such as stop words.

Create a machine learning model for sentiment analysis using an appropriate set of algorithms.


Twitter (Tweepy) Text (Natural Language Toolkit) Predictive Modeling (Scikit-learn)

Jupyter Notebook

Leave a Reply

Your email address will not be published. Required fields are marked *