Sentiment Analysis Using Machine Learning | Python | Sklearn | Beginner Tutorial




[ad_1]

Source Code: https://goo.gl/Q3Gt5m
References: https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/
http://www.inf.ed.ac.uk/teaching/courses/inf2b/learnnotes/inf2b-learn-note07-2up.pdf
https://data.world/datasets/twitter

In this video I explain how you can use machine learning algorithms on text data, using the example of twitter sentiment analysis. I have got the dataset of trump related tweets. It is there in the above mentioned website. This code looks though all the data and then figures out if a tweet is a positive tweet or a negative tweet. After the classification(positive sentiment/negative sentiment) it saves the data in a file.

Code work offers you a variety of educational videos to enhance your programming skills. At times I create videos without prior preparations so that I can show you the mistakes I am making so that you don’t repeat those mistakes yourself.

It’s humanly to make errors, so if you find some errors in my videos please leave a comment below and I will address them or you can email me at codeworks0301@gmail.com stating the problem.

I shall try to address all of you .

Finally please hit hike . . . and do subscribe so that you get to know at once when some video is being released.

Happy coding . ..

Epic pen: http://epic-pen.com
Screen Recorder: https://obsproject.com/

Facebook https://www.facebook.com/Coding-algorithms-datastructure-Codeworks-1520910904866937/
google plus https://plus.google.com/118085047343771284166
My Website: http://www.the-tinker-project.co.in/blog/

Source


[ad_2]

Write a comment