Practical Text and Sentimental Analysis
Kelvin Kobina Fosu
20% off Natural Language Understanding and Natural Language Processing Black Friday special
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Overview
Certificates
Curriculum
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Introduction 13:28
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Sentimental Analysis 22:46
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Find l Correct l Upper Case l Lower Case l Count l Translate - TextBlob 06:58
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Lemmatization l Tokenization l Pluralize - TextBlob 09:03
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Parts of Speech (POS) Tagging l Parse & Ngrams -Textblob 07:59
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Language Translation l Language Detection - Text Blob 05:24
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Exercise 1 04:11
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Exercise 2 07:26
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Exercise 3 12:52
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Exercise 4 19:46
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
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Anaconda
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Jupyter Notebook
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Python 3
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PyCharm
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Windows Computer is what is used in the lecture
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Twitter account(optional) but needed if you'd want to analyze twitter post etc
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.