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Practical Text and Sentimental Analysis
Kelvin Kobina Fosu

20% off Natural Language Understanding and Natural Language Processing Black Friday special

Summary

Price
£49.99 inc VAT
Study method
Online, On Demand 
Duration
1.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free

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Overview

Natural Language Understanding and Natural Language Processing


Parts of Speech tagging (POS)
Text Analysis
Sentimental Analysis (Subjectivity and Polarization)
Lemmatization
Tokenization
Noun Phrasing
Pluralize text
Spelling Correction
Language translation and Language detection
TextBlob, Tweepy, ChatterBot Corpus, NLTK, Packages
visualization and classification

Certificates

Course media

Description

Learn to use some python libraries for text analysis(spelling correction, Parts of Speech (POS) Tagging pluralization, tokenization) and sentimental analysis like Polarity( positive or negative sentiments) 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 sentiments 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 -downloadable 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 downloads 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 is this course for?

  • STEAM Educators
  • Teachers
  • Hobbyist and Funatics
  • Learners

Requirements

  • Anaconda

  • Jupyter Notebook

  • Python 3

  • PyCharm

  • Windows Computer is what is used in the lecture

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

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FAQs

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