GoTrained Academy
This Natural Language Processing (NLP) tutorial covers core basics of NLP using the well–known Python package Natural Language Toolkit (NLTK). The course helps trainees become familiar with common concepts like tokens, tokenization, stemming, lemmatization, and using regex for tokenization or for stemming. It discusses classification, tagging, normalization of our input or raw text. It also covers some machine learning algorithms such as Naive Bayes.
After taking this course, you will be familiar with the basic terminologies and concepts of Natural Language Processing (NLP) and you should be able to develop NLP applications using the knowledge you gained in this course.
What is Natural Language Processing (NLP)?
Natural language processing, or NLP for short, is the ability of a computer program to understand, manipulate, analyze, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, topic segmentation, and spam detection.
What is NLTK?
The Natural Language Toolkit (NLTK) is a suite of program modules and data–sets for text analysis, covering symbolic and statistical Natural Language Processing (NLP). NLTK is written in Python. Over the past few years, NLTK has become popular in teaching and research.
Instructor Details
Courses : 4
Specification: NLTK: Build Document Classifier & Spell Checker with Python
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8 reviews for NLTK: Build Document Classifier & Spell Checker with Python
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| Price | $12.99 |
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| Provider | |
| Duration | 5.5 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$12.99
narender Kumar –
Very Nice explanation on nltk topics. it is providing me a lot help for polishing my nlp’s concept. very good..
Choongil Yoon –
lacks background explanation about what is going on, and why that is being done. And the instructor’s accent is so strong that it would take lots of time to get used to it
Kannan Sundaram –
Nice course. However the instructor is speaking incoherently often. This is causing some confusion. Otherwise it is a good course.
Noha Aly Badawy –
I like the content of the course so far and the lecturer seems to be knowledgeable about the subject, I am happy to provide a rating end of the course as well
M rio Chaves –
Cedo para dizer
Prasanna Ammiraju –
Discusses the underlying concepts but never explains on how these concepts tie to the big picutere. Always take a problem and explain how the concepts solve the problems.
Ignacio Soteras Guti rrez –
Nice to have an overview of the basic concepts
Douglas Kendyson –
This course was very well thought out. It helped me understand all the things I struggled to understand via other articles or books. It’s a good intro, and you should definitely checkout more resources after this, but I strongly recommend this as an intro