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Social Networking and Sentiment Analysis in Marketing

Learn how to master using social networking analytics and sentiment analysis in this free online course.

Publisher: NPTEL
Social Networking and Sentiment Analysis in Marketing is a free online course that offers an in-depth understanding of how these digital elements can be used to create connections between users and businesses. You will learn about sentiment analytics, related ‘libraries’ and how to use naive Bayes classifiers for sentiment mining. Register for this course now and take your marketing analytics skills to the next level today.
Social Networking and Sentiment Analysis in Marketing
  • Duration

    4-5 Hours
  • Students

    1,918
  • Accreditation

    CPD

Description

Modules

Outcome

Certification

View course modules

Description

Social Networking and Sentiment Analytics in Marketing is a free online course that offers a comprehensive guide to understanding the functions of social network analysis in marketing, as well as how it can be used to create connections between users. This course will teach you how social network analysis can be used by manufacturing companies for marketing management, and begins with an analysis of sentiment analysis, social network analytics, and how they can be used to solve real-life problems in marketing.

Next, you will learn about the application of the naive Bayes algorithm in sentiment mining. Study how to use other established algorithms in sentiment analysis, as well as how to interpret different insights from the data. Then you will discuss how to use libraries that have been pre-developed by researchers for sentiment analysis. You will also analyze text mining, as well as how to use different kinds of lexicon libraries to calculate the sentiment from a data set. Finally, you will study the requirements for creating an interactive dashboard, as well as the important tools and software that are available to do so.

This free online course provides practical knowledge and numerous applications of social network analysis using a manufacturing organization as the case study to ensure a great learning experience. It will be of significant interest to anyone needing to upgrade their digital marketing analytics skills for professional or personal use.

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