Lemmatization Courses and Certifications

NLP - Natural Language Processing with Python

17583 ratings at Udemy

Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing

• Udemy
• 11 hours 25 minutes
• On-Demand
• Paid Course

U&P AI - Natural Language Processing (NLP) with Python

1148 ratings at Udemy

Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines!

• Udemy
• 5 hours 50 minutes
• On-Demand
• Paid Course

Natural Language Processing (NLP) for Beginners Using NLTK

753 ratings at Udemy

Explore NLP fundamentals using NLTK, covering corpus usage, frequency distribution, stemming, lemmatization, and tokenization for beginners.

• Udemy
• On-Demand
• Free Online Course

NLP Course for Beginner

502 ratings at Udemy

Learn Natural Language Processing ( NLP ) & how to analyze text data.

• Udemy
• 1 hour 7 minutes
• On-Demand
• Paid Course

The Ultimate Beginners Guide to Natural Language Processing

174 ratings at Udemy

Learn step-by-step the main concepts of natural language processing in Python! Build a sentiment classifier!

• Udemy
• 6 hours
• On-Demand
• Paid Course

Machine learning and Lexicon approach to Sentiment analysis

43 ratings at Udemy

Machine learning and Lexicon based approach to Sentiment analysis using Twitter API

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

Building Features from Text Data

21 ratings at Pluralsight

This course covers aspects of extracting information from text documents and constructing classification models including feature vectorization, locality-sensitive hashing, stopword removal, lemmatization, and more from natural language processing.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

The AI University

Natural Language Processing

This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. It will cover Tokenization, Stop Words and Word Embedding.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Great Learning

Textblob

Explore TextBlob for NLP tasks: preprocessing, sentiment analysis, and text vectorization. Learn to clean text data, handle stopwords, and implement sentiment analysis using Python.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course

Lucid Programming

Natural Language Processing

Learn Python-based NLP techniques including text resource access, word cloud generation, WordNet usage, and word processing methods like stemming and lemmatization.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Natural Language Processing

Explore natural language processing (NLP) concepts, review Text preprocessing and data cleaning, learn forward propagation and back propagation in neural networks, Word Embedding using Keras and deep learning with examples

• YouTube
• 10 hours
• On-Demand
• Free Online Course

NLP in Python - Natural Language Processing

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language. In this course we study about NLP and use the NLP toolkit or NLTK in Python.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Open Data Science

State of the Art Natural Language Understanding at Scale - David Talby

Explore state-of-the-art NLP techniques using Apache Spark, covering core algorithms, distributed pipelines, and performance optimizations for large-scale language understanding applications.

• YouTube
• 50 minutes
• On-Demand
• Free Online Course

Open Data Science

Introduction to NLP and Topic Modeling

Explore NLP basics, advanced techniques like word vectors, and topic modeling. Learn pre-processing, tools, and methodologies to start NLP modeling and understand topic analysis.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Keith Galli

Complete Natural Language Processing Tutorial in Python

Comprehensive Python tutorial covering NLP fundamentals, techniques, and state-of-the-art models. Includes practical examples using popular libraries and hands-on implementation of advanced concepts.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Online Course