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

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

Udemy

About This Course

Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines! What you'll learn: Understand every detail and build real stuff in NLP(NEW)Learn how some plugins use semantic search to generate source code(NEW)Building your vocabulary for any NLP model(NEW)Reducing Dimensions of your Vocabulary for Machine Learning Models(NEW)Feature Engineering and convert text to numerical values for machine learning models(NEW) Keyword search VS Semantic search(NEW)Similarity between documents(NEW)Dealing with WordNet(NEW)Search engines under the hoodTokenizing text dataConverting words to their base forms using stemmingConverting words to their base forms using lemmatizationDividing text data into chunksDealing with corpusesExtracting document term matrix using the Bag of Words modelBuilding a category predictorConstructing a gender identifierBuilding a sentiment analyzerTopic modeling using Latent Dirichlet Allocation -- UPDATED -- (NEWLESSONSARENOTINTHEPROMOVIDEO)THISCOURSEISFORBEGINERSORINTERMEDIATES, ITISNOTFOREXPERTSThis course is a part of a series of courses specialized in artificial intelligence : Understand and Practice AI - (NLP)This course is focusing on the NLP: Learn key NLP concepts and intuition training to get you quickly up to speed with all things NLP.I will give you the information in an optimal way, I will explain in the first video for example what is the concept, and why is it important, what is the problem that led to thinking about this concept andhow can I use it (Understand the concept). In the next video, you will go to practice in a real-world project or in a simple problem using python (Practice).The first thing you will see in the video is the input and the output of the practical section so you can understand everything and you can get a clear picture!You will have all the resources at the end of this course, the full code,and some other useful links and articles.In this course, we are going to learn

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