Last updated 11/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 847.11 MB | Duration: 1h 54m

Natural Language Processing

What you'll learn

Visualize Sennts graphically

Understand some NLP methods

Analyze real-life Data

Familiarity with Python

Requirements

Anaconda-Jupyter notebook

Internet

Python 3

Windows Computer is what is used in the lecture

Pychram(optional)

Twitter account(optional) but needed if you'd want to analyze twitter post etc

Description

Learn to use some python libraries for text analysis(spelling correction, Parts of Speech (POS) Tagging pluralization, tokenization) and senntal analysis like Polarity( positive or negative sennts) and subjectivity( the beliefs and feelings of a person expressed in a text or tweet post. In this course, we would learn lots of different methods used in text analysis using TextBlob's methods and the Tweepy library to analyze sennts in tweets. The course assumes you already have python3, Anaconda already installed and you're comfortable using Jupyter notebook. Also, some background understanding of python basics is very helpful. You'll have free -able access to the course activities/ exercise from the first section of the course module. The jupyter notebook exercise file has been well commented on so you understand what we are trying to achieve with each line of code. This should help you practice on your own while watching the video. Also, more sessions will be added as they are being edited. *Python 3* is the version of python used in the lectures and Jupyter notebook is the IDE used in programming for the course. It should be noted that python and anaconda installations and s and setting up anaconda and python is not taught in this course. Language translation and Language detection(This has been deprecated but it is there so you know the power of TextBlob) TextBlob package and Tweepy Package

Who this course is for

Teachers,Natural Language Processing Enthusiats,Python Enthusiast,Data Analyst,Marketers

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