Predict Stocks w/ Sentiment Analysis ML

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

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).

One of the key differentiators of this course is that it's not about learning Text Mining, NLP or Machine Learning in general. The objective is to pursue a very precise goal (Sentiment Analysis) and deepen all the necessary steps in order to reach this goal, by using the appropriate tools.

So no, you might not yet be an unbeatable expert in Artificial Intelligence at the end of this course, sorry ... but you will know exactly how, and why, your Sentiment application works so well.