Udemy – Machine Learning for beginners – Sentiment Analyzer 2024-10

Published on: 2024-11-14 11:06:58

Categories: 28

Description

Machine Learning course for beginners – Sentiment Analyzer. This comprehensive course will teach you to extract, analyze and quantify feelings, opinions and emotions from various textual sources. This course is designed for beginners who want to learn the basics of machine learning, especially sentiment analysis, without any prior knowledge of mathematics. You will learn how to identify and measure the underlying sentiment in text so that you can use this information to make better decisions in different areas.

In this course, you will be introduced to the basic concepts of natural language processing and learn how to preprocess text and extract features suitable for sentiment analysis. Then, using machine learning algorithms, you will train different models to classify emotions. Finally, you will be able to analyze sentiment in real text data such as customer reviews, social media posts, and product reviews and extract valuable insights from them.

What you will learn:

Sentiment analysis and interpretation from textual data
Mastery of sentiment analysis tools and libraries (NLTK, spaCy, TensorFlow)
Developing natural language processing skills for text preprocessing and machine learning
Basics of Natural Language Processing (NLP)
Sentiment analysis techniques (rule-based, machine learning, deep learning)
Text preprocessing and feature extraction
Classification and visualization of emotions
Dealing with humor, irony and figurative language
Real-world applications (social media, customer feedback, product reviews)
Application of sentiment analysis in real world scenarios