Data Science Natural Language Processing (NLP) in Python
Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.
Tailored for data scientists, analysts, and language enthusiasts, this program offers an in-depth understanding of NLP techniques, empowering learners to extract valuable insights from textual data.
What You Will Learn:
- Introduction to Natural Language Processing:
- Gain a fundamental understanding of the principles and applications of Natural Language Processing.
- Explore the challenges and opportunities in processing and analyzing human language.
- Text Preprocessing and Cleaning:
- Learn effective techniques for cleaning and preprocessing textual data.
- Explore methods for tokenization, stemming, and removing stop words.
- Text Representation Techniques:
- Dive into various methods for representing text data, including bag-of-words, TF-IDF, and word embeddings.
- Understand how to choose the appropriate representation for different NLP tasks.
- Sentiment Analysis:
- Explore sentiment analysis techniques for gauging the emotional tone of text data.
- Learn how to build models that can classify text as positive, negative, or neutral.
- Named Entity Recognition (NER):
- Understand how to identify and classify named entities in text, such as names, locations, and organizations.
- Explore NER techniques and their applications in information extraction.
- Topic Modeling:
- Dive into topic modeling methods, including Latent Dirichlet Allocation (LDA).
- Learn how to uncover latent topics within large text corpora.
- Text Classification:
- Explore text classification techniques for categorizing text into predefined classes or categories.
- Understand how to build machine learning models for text classification tasks.
- Natural Language Processing in Real-world Projects:
- Apply your knowledge through hands-on projects and real-world case studies.
- Gain practical experience in solving NLP challenges and extracting meaningful insights from diverse textual datasets.
The hands-on projects were engaging, allowing me to apply NLP techniques to real-world scenarios. I appreciated the practical focus of the course. Whether you're a data scientist or someone interested in the power of language processing, this course is a must.
— Sophia
The instructors break down complex NLP concepts into digestible modules, and the practical exercises helped solidify my understanding. The coverage of sentiment analysis, named entity recognition, and topic modeling provided a well-rounded view of NLP applications.
— Jonathan
Your Instructor
Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!
Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.
All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.