Enroll Course: https://www.udemy.com/course/natural-language-processing-pratico/
In today’s digital world, understanding and processing human language is paramount. From powering virtual assistants like Siri and Alexa to enabling sophisticated search engines and translation services, Natural Language Processing (NLP) is at the core of many technologies we use daily. If you’re looking to dive deep into this fascinating field, the Udemy course ‘Natural Language Processing con Python: il Corso Completo’ is an exceptional starting point.
This course, taught in Italian, offers a truly comprehensive journey into NLP, covering everything from foundational text extraction to advanced deep learning techniques. The instructor meticulously guides you through real-world applications, making complex concepts accessible and practical.
The course begins with the essentials: extracting text from various file formats like TXT, CSV, PDF, and Word documents, and even web scraping with BeautifulSoup. You’ll get a solid grasp of regular expressions and their vital role in NLP.
Preparation is key in NLP, and this course excels in its detailed coverage of preprocessing techniques. You’ll learn tokenization, stopword removal, stemming, and lemmatization using two of the most popular Python libraries: NLTK (Natural Language Toolkit) and spaCy. The instructor even shows you how to implement Bag of Words and TF*IDF models from scratch using NumPy, providing a deep understanding of these core document encoding methods.
Moving into the analytical aspects, the course delves into Part of Speech Tagging and Named Entity Recognition with NLTK and spaCy. The practical application of sentiment analysis is a major highlight. You’ll learn to extract sentiment from real-world Alexa skill reviews using VADER and build logistic regression and Bayesian models for sentiment analysis on the IMDB Movie Reviews dataset using scikit-learn and NLTK.
Topic modeling is another area where this course shines. You’ll explore Latent Dirichlet Allocation (LDA) and apply it to datasets like the New York Times and ABC news headlines, using both scikit-learn and Gensim for analysis. This section is invaluable for understanding how to group articles by topic and uncover underlying themes in large text corpora.
The latter half of the course ventures into the exciting world of Deep Learning. You’ll learn about Artificial Neural Networks and their application in building a customer care chatbot for a fictional telecom company using Keras and TensorFlow. The course culminates with an exploration of Recurrent Neural Networks (RNNs), including Vanilla RNNs, LSTMs, and GRUs. The practical exercise of generating text in the style of Dante Alighieri using LSTMs on the Divine Comedy is a truly impressive and engaging way to demonstrate the power of these architectures.
Overall, ‘Natural Language Processing con Python: il Corso Completo’ is a masterclass in NLP. It’s packed with practical examples, covers a vast range of topics, and is taught by an instructor who clearly has a passion for the subject. Whether you’re a beginner looking to enter the field or an intermediate learner seeking to deepen your knowledge, this course comes highly recommended. It equips you with the skills and confidence to tackle real-world NLP challenges.
Enroll Course: https://www.udemy.com/course/natural-language-processing-pratico/