Machine Learning - Twitter Sentiment Analysis in Python

Beginner to Intermediate 4.5 (4 Ratings) 85 Students Enrolled
ACCREDITED BY CPD
£64.00
Course Includes:
  • Accredited By: CPD
  • Course Level: Beginner to Intermediate
  • Course Duration: 365 Days
  • Number of Modules: 14
  • Guided Learning Hours: 3.5
  • Course Certificate: At completion
  • Assessment Included:
  • Course Material:
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24 x 7 Access

Certification and Job Assistance

42 Hrs Instructor-led Training
28 Hrs Self-paced Videos
56 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance
What Will I Learn?
  • Design and Implement a sentiment analysis measurement system in Python
  • Learn about Sentiment Lexicons, Regular Expressions & Twitter API
  • Grasp the theory underlying sentiment analysis, and its relation to binary classification
  • Identify use-cases for sentiment analysis

Description

Sentiment analysis is a machine learning tool that analyzes texts for polarity, from positive to negative. By training machine learning tools with examples of emotions in text, machines automatically learn how to detect sentiment without human input. To put it simply, machine learning allows computers to learn new tasks without being expressly programmed to perform them. Sentiment analysis models can be trained to read beyond mere definitions, to understand things like, context, sarcasm, and misapplied words.

In this ‘Machine Learning – Twitter Sentiment Analysis in Python’ course, you will learn why Sentiment Analysis is useful and how to approach the problem using both Rule-Based and Machine Learning-Based approaches. With a Machine Learning approach to sentiment analysis, you can aggregate all textual references across internal and external channels -website, customer service department, outsourced call centre, marketplaces, social media etc. This information is analysed by machine learning algorithms in real time, to highlight important feedback in accordance with your queries.

Why You Should Learn at Next Learn Academy? Online learning is flexible, convenient and gives you the opportunity to balance life's other commitments with higher education. Next Learn Academy offers an extensive range of online courses with a variety of rich material and resources that will let you connect to peers and expert tutors and build on your skills and knowledge. Next Learn Academy is a reliable online provider with a strong reputation and its meticulously designed courses to help you kick-start your professional journey in the best possible way.

  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended
  • Analytics Professionals
  • Big data professionals
  • Tech Executives
  • Engineers who want to understand machine learning

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

  • You will only need to pay £19 for assessment & Certificate.

Upon the successful completion of the course, you will be awarded the ‘Certificate in Machine Learning (Twitter Sentiment Analysis in Python) - Level 2’ certificate by CPD.

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

  • High-quality e-learning study materials.
  • Tutorials/materials from industry-leading experts.
  • 24/7 Access to the Learning Portal.
  • Recognised Accredited Certification
  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended
  • Analytics Professionals
  • Big data professionals
  • Tech Executives
  • Engineers who want to understand machine learning

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

  • You will only need to pay £19 for assessment & Certificate.

Upon the successful completion of the course, you will be awarded the ‘Certificate in Machine Learning (Twitter Sentiment Analysis in Python) - Level 2’ certificate by CPD.

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

  • High-quality e-learning study materials.
  • Tutorials/materials from industry-leading experts.
  • 24/7 Access to the Learning Portal.
  • Recognised Accredited Certification
£64.00
Course Includes:
  • Accredited By: CPD
  • Course Level: Beginner to Intermediate
  • Course Duration: 365 Days
  • Number of Modules: 14
  • Guided Learning Hours: 3.5
  • Course Certificate: At completion
  • Assessment Included:
  • Course Material:
Training 5 or more people?

Get your team access to 600+ top NLA courses anytime, anywhere.

Try NLA for Business
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Total Program Fee ?3,25,000

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Student Feedback
4.5
Average Rating
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Reviews
  • SW
    Fri, 10-Jan-2020
    Sydney Willis
    Machine learning is fascinating and I now feel like I have a good foundation. Everything is taught from basics, which makes this course very accessible- still requires effort, however will leave you with real confidence and understanding of subjects covered
  • RS
    Wed, 04-Mar-2020
    Rudy Stewart
    Very helpful and easy to learn.
  • LG
    Sun, 10-May-2020
    Lyla George
    The course covers a lot of material !
  • HS
    Thu, 02-Jul-2020
    Hendrix Sutton
    This course provided a lot of basic knowledge for anyone who don't know machine learning.

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