B.E Artificial Intelligence and Machine Learning Social Media Analytics Lab Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Social Media Analytics Lab
1 Study various
- i) Social Media platforms ( Facebook, twitter, YouTubeetc) ii) Social Media analytics tools ( Facebook insights, google analytics net lyticetc) iii) Social Media Analytics techniques and engagement metrics (page level, post level, member level) iv) Applications of Social media analytics for business. e.g. Google Analytics https://marketingplatform.google.com/about/analytics / https://netlytic.org/ 2 Data Collection-Select the social media platforms of your choice (Twitter, Facebook, LinkedIn, YouTube, Web blogs etc) ,connect to and capture social media data for business ( scraping, crawling, parsing).
Module 3
- Data Cleaning and Storage- Preprocess, filter and store social media data for business (Using Python, MongoDB, R, etc).
Module 4: Exploratory Data Analysis and visualizationof Social Media Data for business.
Module 5: Develop Content (text, emoticons, image, audio, video) based social media analytics model for business.
- (e.g. Content Based Analysis :Topic , Issue ,Trend, sentiment/opinion analysis, audio, video, image analytics)
Module 6
- Develop Structure based social media analytics model for any business. ( e.g. Structure Based Models -community detection, influence analysis)
Module 7: Develop a dashboard and reporting tool based on real time social media data.
Module 8: Design the creative content for promotion of your business on social media
- platform.
Module 9: Analyze competitor activities using social media data.
Module 10
- Develop social media text analytics models for improving existing product/ service by analyzing customer‘s reviews/comments.
Reference Books
- 2 Learning Social Media Analytics with R,byRaghav Bali, Dipanjan Sarkar, Tushar Sharma.
- 3 Jennifer Golbeck, Analyzing the social web, Morgan Kaufmann, 2013
- 4 Matthew A. Russell. Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, and More, 2nd Edition, O'Reilly Media, 2013
- 5 Charu Aggarwal (ed.), Social Network Data Analytics, Springer, 2011
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.