Machine Learning for beginners – Sentiment Analyzer | Udemy


Machine Learning for beginners – Sentiment Analyzer | Udemy [Update 10/2024]
English | Size: 1.6 GB
Genre: eLearning

Sentiment Analyzer Project – TF & IDF

What you’ll learn
Analyze and Interpret Sentiment: Extract and quantify emotions, sentiments, and opinions from text data using various sentiment analysis techniques.
2. Master Sentiment Analysis Tools: Learn to work with popular libraries (NLTK, spaCy, TensorFlow) and tools (TextBlob, VaderSentiment) for sentiment analysis.
Develop NLP Skills: Understand Natural Language Processing (NLP) fundamentals, text preprocessing, and machine learning approaches for sentiment classification.
Apply Sentiment Analysis in Real-World Scenarios: Confidently apply sentiment analysis techniques to real-world applications, such as customer feedback

Sentiment Analysis: Extracting Insights from Text

Unlock the power of emotions in text data with Sentiment Analysis. This comprehensive course teaches you to extract, analyze, and quantify sentiments, opinions, and emotions from various text sources.

Key Topics:

– Fundamentals of Natural Language Processing (NLP)

– Sentiment Analysis techniques (rule-based, machine learning, deep learning)

– Text preprocessing and feature extraction

– Sentiment classification and visualization

– Handling sarcasm, irony, and figurative language

– Real-world applications (social media, customer feedback, product reviews)

Learning Outcomes:

– Analyze and interpret sentiments from text data

– Master sentiment analysis tools and libraries (NLTK, spaCy, TensorFlow)

– Develop NLP skills for text preprocessing and machine learning

– Apply sentiment analysis in real-world scenarios

Target Audience:

– Data scientists and analysts

– NLP enthusiasts

– Marketing and customer service professionals

– Researchers and academics

Challenges:

1. Handling sarcasm, irony, and figurative language

2. Dealing with noisy or incomplete data

3. Maintaining accuracy across domains

4. Handling multilingual text data

5. Integrating with existing systems

By working on a Sentiment Analysis project, you’ll gain hands-on experience with NLP, machine learning, and data analysis, while extracting valuable insights from text data.

Prerequisites: Basic Python programming skills

Join this course to unlock valuable insights from text data and drive informed decisions.

Thank You and Keep Learning!!

Who this course is for:
This course is for the beginners in machine learning who want to learn basics without having prior knowledge of Maths

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