NLP Boot-camp: Hands-on Text mining in Python using TextBlob

🚀 NLP Boot-camp: Hands-on Text Mining in Python using TextBlob for Beginners 📚

Course Headline: 🎓 Text Mining, Natural Language Processing, Sentiment Analysis, and Classification for ABSOLUTE BEGINNERS in Python.

Embark on a journey to unlock the secrets of Text Mining and Natural Language Processing (NLP) with our comprehensive NLP Boot-camp. Designed specifically for absolute beginners, this course will guide you through the fascinating world of Python, focusing on the powerful TextBlob library. By the end of this course, you'll have a solid foundation in NLP and be well-equipped to explore more advanced libraries like NLTK, TensorFlow, and Keras with confidence!

Why Take This Course?

• 🤖 Start from Scratch: No prior knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing is required. We'll cover everything you need to know from the ground up.
• 🛠️ Easy-to-Understand Concepts: Complex topics are broken down into simple, digestible pieces without losing the depth and intricacies of NLP.
• 🚀 Hands-On Learning: This course is packed with practical exercises that will help you master the concepts of text mining and sentiment analysis.
• 📈 Step-by-Step Progression: We'll begin at the basic level, move through intermediate topics, and conclude with advanced concepts for a comprehensive understanding of NLP.

What You Will Learn:

• Tokenization: The process of breaking down text into individual words or phrases.
• Parts-of-Speech Tagging: Understanding the grammatical components within each sentence.
• Noun Phrase Extraction: Identifying and extracting noun phrases from text.
• Sentiment Analysis: Determining the sentiment expressed in the text, whether it's positive, negative, or neutral.
• Spell Checking: Ensuring the accuracy of the words used in the text.
• Words Inflection and Lemmatization: Reducing words to their base form for meaningful analysis.
• Noun Phrase Frequency Analysis: Identifying the most frequently used noun phrases in a document.
• N-grams: Exploring sequences of 'n' adjacent words within text to understand context better.
• Text Classification Systems: Developing your own system to categorize and classify different pieces of text.
• Naive Bayes Classifier: Learning how to create a model for classification, its training, testing, and understanding its application in text classification tasks.
• Model Accuracy: Measuring the performance and accuracy of your NLP models.

Course Structure:

1. Basic Level: A gentle introduction to the foundational concepts of NLP with TextBlob.
2. Intermediate Level: Diving deeper into text mining techniques and building a Text Classification System using Naive Bayes.
3. Advanced/ Final Level: Reinforcing your learning by revisiting key components such as Tokenizer, Sentiment Analyzer, Parts-of-Speech Tagger, and Noun Phrase Extractor with a new perspective.

Who Is This Course For?

• Beginners in Python, Machine Learning, and Natural Language Processing.
• Students and professionals looking to expand their skillset in data analysis, AI, or computer science.
• Anyone interested in understanding how machines can comprehend human language.

Join us on this engaging and insightful journey into the world of NLP with TextBlob. Enroll now and start your adventure in Python text mining and beyond! 🤗👩‍💻✨