Enroll Course: https://www.udemy.com/course/sentiment-analysis/
If you’re interested in Natural Language Processing (NLP) and want to delve into the fascinating world of sentiment analysis, the ‘Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)’ course on Coursera is an excellent starting point. This course offers a focused and practical introduction to extracting subjective information from Twitter data, emphasizing both rule-based and machine learning approaches.
What sets this course apart is its clear emphasis on the importance of training data and feature extraction, critical components in sentiment analysis. You’ll learn how to utilize sentiment lexicons and regular expressions, tools that are essential for effective data preprocessing and feature engineering. The course also introduces you to working with Twitter APIs, enabling real-world application and experimentation.
Although it’s a concise, stand-alone course, it complements the broader ‘From 0 to 1: Machine Learning & Natural Language Processing’ curriculum, making it ideal for learners seeking bite-sized, practical knowledge without duplication.
I highly recommend this course for aspiring data scientists, NLP enthusiasts, or anyone looking to understand how sentiment analysis can be applied to social media data for insights, marketing, or research purposes. With hands-on coding exercises and clear explanations, you’ll finish the course equipped with the skills to perform sentiment analysis on Twitter data confidently.
Enroll Course: https://www.udemy.com/course/sentiment-analysis/