Do you want to learn natural language processing and looking for Best Resources to Learn Natural Language Processing?… If yes, then you are in the right place. In this article, I have listed all the best resources to learn natural language processing including Online Courses, Tutorials, Books, and YouTube Videos.
So, give your few minutes and find out the best resources to learn natural language processing. You can bookmark this article so that you can refer to this article later.
Now without further ado, let’s get started-
Best Resources to Learn Natural Language Processing
For your convenience, I have created separate tables for each resource. So let’s start with online courses-
Note- If you are reading this article on Mobile, Please slide left for Full Table.
Best Natural Language Processing Online Courses
S/N | Course Name | Rating | Prerequisite | Time to Complete |
1. | Natural Language Processing Specialization– deeplearning.ai | 4.6/5 | Those who have a working knowledge of machine learning, and intermediate Python including experience with a deep learning framework such as TensorFlow and Keras. | 4 months( If you spend 6 hours per week) |
2. | Become a Natural Language Processing Expert- Udacity | 4.5/5 | Those who have Intermediate Knowledge of Python, Statistics, Machine Learning, & Deep Learning. | 3 months (If you spend 10-15 hours per week) |
3. | Natural Language Processing– National Research University Higher School of Economics | 4.5/5 | This course requires basic knowledge of linear algebra and probability theory, machine learning setup, and deep neural networks. | 32 Hours |
4. | Natural Language Processing in TensorFlow– deeplearning.ai | 4.6/5 | Those who have intermediate-level knowledge in Python, high school level mathematics knowledge, and those who are familiar with TensorFlow. | 14 Hours |
5. | Introduction to Natural Language Processing in Python– DataCamp | NA | Those who have working knowledge in Python. | 4 hours |
6. | Natural Language Processing with Deep Learning in Python –Udemy | 4.5/5 | Those who have knowledge of calculus, matrix addition, multiplication, and, probability and are comfortable with Python coding, and Numpy coding. | 12 hours |
7. | Learn Natural Language Processing- Codecademy | NA | There is no other prerequisite to enroll in this course, you should have only Python 3 Knowledge. | 10 hours |
8. | Data Science: Natural Language Processing (NLP) in Python –Udemy | 4.5/5 | Students who are comfortable writing Python code and who want to learn more about machine learning but don’t want to do a lot of math. | 10 hours |
9. | NLP -Natural Language Processing with Python- Udemy | 4.5/5 | There are not too many requirements for enrolling in this course. Only those who know Python and want to learn NLP can enroll. | 11.5 hours |
10. | Natural Language Processing with Python Certification Course- Edureka | 4.3/5 | Those who have knowledge of Python programming and a good understanding of Machine Learning concepts. | Live Class |
Best Natural Language Processing Books
S/N | Book Name | Author | Buy/Download |
1. | Natural Language Processing with Python | Steven Bird | 1. Buy on Amazon |
2. | Speech and Language Processing | James H. Martin | Dan Jurafsky | 1. Buy on Amazon |
3. | Foundations of Statistical Natural Language Processing | Christopher Manning and Hinrich Schütze. | 1. Buy on Amazon 2. Download EBook |
4. | Text Mining with R | Julia Silge and David Robinson. | 1. Buy on Amazon 2. EBook |
5. | Taming Text | Grant Ingersoll, Thomas Morton, and Drew Farris | 1. Buy on Amazon 2. Book GitHub Repository |
6. | Statistical Machine Translation | Philipp Koehn | 1. Buy on Amazon |
7. | Neural Network Methods in Natural Language Processing | Yoav Goldberg, Graeme Hirst | 1. Buy on Amazon |
8. | Applied Text Analysis with Python | Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda | 1. Buy on Amazon |
9. | Natural Language Processing in Action | Hobson Lane, Hannes Hapke, Cole Howard | 1. Buy on Amazon 2. MEAP Edition |
10. | Statistical Methods for Speech Recognition | Frederick Jelinek | 1. Buy on Amazon |
Best Natural Language Processing Tutorials
S/N | Tutorial Name | Provider |
1. | Natural Language Processing Tutorial | TutorialsPoint |
2. | Natural Language Processing | Kaggle |
3. | NLP Tutorial | JavaTpoint |
4. | Natural Language Processing (NLP) Tutorial | Great Learning |
5. | What is Natural Language Processing? | MLTUT |
6. | Basics of Natural Language Processing(NLP) | Analytics Vidhya |
7. | Natural Language Processing Tutorial | Guru99 |
8. | NLP Tutorial AI with Python | DataFlair |
9. | What Is Natural Language Processing? | Machine Learning Mastery |
10. | Natural Language Processing With Python’s NLTK Package | Real Python |
Best Youtube Channel for Natural Language Processing
S/N | Tutorial Name | Channel Name |
1. | Natural Language Processing -Stanford University [FULL COURSE] | Artificial Intelligence – All in One |
2. | Natural Language Processing | Krish Naik |
3. | Natural Language Processing | Intellipaat |
4. | NLP for beginners | Great Learning |
5. | Natural Language Processing (NLP) Tutorial with Python & NLTK | freeCodeCamp.org |
6. | Natural Language Processing Full course | CS Lesson |
7. | Computer – Natural Language Processing | nptelhrd |
8. | Natural Language Processing Explained | Edureka |
9. | Natural Language Processing (NLP), Part 1 | MIT OpenCourseWare |
10. | Natural Language Processing with TensorFlow 2 | freeCodeCamp.org |
And here the list ends. I hope these resources will definitely help you to learn and master natural language processing.
Now, let’s see What are the applications of Natural Language Processing?
Applications of Natural Language Processing
NLP is used in various fields. Some most popular applications of NLP are-
- Sentiment Analysis- Sentiment Analysis is finding out the mood or feeling of a Text. Sentiment Analysis helps you to identify whether a text has a positive feeling or a negative feeling. In short, sentiment analysis recognizes different feelings from the text. You can perform sentiment analysis on Tweets, or on Facebook posts.
- ChatBot- When you have any query with any product, then you complain to customer support. So when you send a message with your query, you get a reply within a few seconds. So, do you think, who replies to your query?. It’s a ChatBot. ChatBot understands your language via processing and then replies to your query. That’s all happening with the help of NLP.
- Speech Recognition- This is the most popular application of NLP. You are aware of Google’s assistant, Amazon Alexa, Apple’s Siri, and Cortana. So, the process behind all of these is because of NLP. When you give any voice commands to them, they process with your language and try to give the best answer to your question.
- Machine Translation- Many of us use Google Translation to translate from one language to another. And that is possible because of NLP.
- Some other applications of NLP include Spell Checking, Keyword searching, Information retrieval, and Advertisement Matching.
So, these are some most popular applications of NLP. I hope you understood. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.
Conclusion
In this article, I tried to cover all the best resources to learn natural language processing from online courses to YouTube videos. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
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Thank YOU!
Though of the Day…
‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.
– Henry Ford
Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.