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Bitcoin (BTC) price just reached a new ALL TIME HIGH! #cryptocurrency #bitcoin #bullish
For you and me, it seems pretty obvious that this is good news about Bitcoin, isn’t it? But is it that easy for a machine to understand it? … Probably not … Well, this is exactly what this course is about: learning how to build a Machine Learning model capable of reading and classifying all this news for us!
Since 2006, Twitter has been a continuously growing source of information, keeping us informed about all and nothing. It is estimated that more than 6,000 tweets are exchanged on the platform every second, making it an inexhaustible mine of information that it would be a shame not to use.
Fortunately, there are different ways to process tweets in an automated way, and retrieve precise information in an instant … Interested in learning such a solution in a quick and easy way? Take a look below …
What will you learn in this course?
By taking this course, you will learn all the steps necessary to build your own Tweet Sentiment prediction model. That said, you will learn much more as the course is separated into 4 different parts, linked together, but providing its share of knowledge in a particular field (Text Mining, NLP and Machine Learning).
Specification: Applied Text Mining and Sentiment Analysis with Python
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14 reviews for Applied Text Mining and Sentiment Analysis with Python
Add a review
| Price | $9.99 |
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| Provider | |
| Duration | 2.5 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$9.99
Nigel Thornton Clark –
An excellent course and a great task oriented introduction to NLP. Rather than just walking through a single example in a do this then do that, the instructor provided explanations that were simple but not simplistic. I would have given it five stars except that the CountVector model did not converge.
Naufal Aldy Pradana –
Just the nice amount of explanation, and excellent practical for quick dive in text mining
Elouise Witt –
Very great!
Malachi Esparza –
Very great start! Nicely teached and interesting content. Will update later.
Roxana Anca Gheorghe –
I was really impressed by the way the course is organised. There are code challenges, it doesn’t get too in depth with theory. It’s enough to make you understand the general idea and feel like the code it’s valuable. Thank you for the great work! I’ll follow you for more.
Shivam Pandey –
Text Mining is a good match
Bart Meskens –
Perfect!
Amira Ayala –
Many thanks to the instructor! Sad your other courses are not on the same kind of subject …
Armaan Bailey –
Great content!
Jacqueline Malone –
Super experience. Everything is covered in the course to completely understand text mining and how it can be applied to sentiment analysis. Go for it if you’re looking for an introduction on the subject.
Lainey Villegas –
Very comprehensive! Found much more content than what I was expecting for its duration. Very good match for me.
Scarlet Jimenez –
Very interested in the subject and I must say this course fully match my expectations. Will try to use it with new data and see what’s coming out! Thanks a lot 🙂
Ginevra Caldo –
I like the course. It explains things very well
Maria Alliah Tadeja –
This course will surely help us to do a project like this.