Udemy - Applied Text Mining and Sentiment Analysis with Python

[ DevCourseWeb.com ] Applied Text Mining and Sentiment Analysis with Python



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + srt | Duration: 43 Lectures (2h 12m) | Size: 745.6 MB

Perform Sentiment Analysis on Twitter data by combining Text Mining and NLP techniques, NLTK and Scikit-Learn

What you'll learn:

How to use common Text Mining and NLP techniques

How to use Regex to clean up Tweets

How to use NLTK to pre-process text

How to use Scikit-Learn to build a Sentiment Analysis prediction model

How to predict the sentiment of any tweet



Requirements

A basic Python IDE (Spyder, Pycharm, etc.) or a web-based Python IDE (Jupyter Notebook, Google Colab, etc.). Google Colab will be used by default to teach this course.

General knowledge of Python, as this is a course about learning Sentiment Analysis and Text Mining, not properly about learning Python.



Description

"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!



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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