RiseUpp Logo
RiseUpp Logo
Artificial Intelligence in Social Media Analytics
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

olive-leaves-logo

Artificial Intelligence in Social Media Analytics

Master AI techniques for social media analysis: machine learning, NLP, sentiment analysis, and topic modeling for actionable digital insights.

Course Cost

Free course

Intermediate

Skill Level

17 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Social Media Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

English

Powered by

Provider Logo

What you'll learn

  • Define and evaluate machine learning classifiers for effective data analysis

  • Process and parse social media text data using NLP techniques

  • Conduct sentiment analysis on social media content to gauge public opinion

  • Apply topic modeling to extract themes from social media conversations

  • Build semantic networks for advanced social media analysis

Skills you'll gain

Machine Learning Classification
Natural Language Processing
Sentiment Analysis
Topic Modeling
Text Processing
Semantic Networks
Social Media Analytics
BERT
NLTK
Data Normalization

This course includes:

3.35 Hours PreRecorded video

12 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 5 modules in this course

This comprehensive course explores the intersection of artificial intelligence and social media analytics, equipping learners with essential skills to analyze digital landscapes. The curriculum covers machine learning fundamentals, natural language processing, sentiment analysis, and topic modeling, providing hands-on experience with real-world social media data. Students learn to construct classifiers, perform sentiment analysis, and build semantic networks, all while developing practical skills in applying AI techniques to uncover patterns and insights from social media content.

Course Introduction

Module 1 · 14 Minutes to complete

Machine Learning

Module 2 · 4 Hours to complete

Natural Language Processing

Module 3 · 4 Hours to complete

Sentiment Analysis

Module 4 · 4 Hours to complete

Topic Modeling

Module 5 · 4 Hours to complete

Fee Structure

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Artificial Intelligence in Social Media Analytics

Intermediate

Skill Level

17 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.