Social Media Data Mining Services | 3i Data Scraping

1. Social Media Mining

2. 1 What is Data Mining? • Data Mining is a Process of Discovering and Extracting Patterns in Large Data Sets Methods at the Intersection of Statistics, Database Systems, and Machine Learning.

3. 2 Social Media • Social Media is Defined as a Group of Web-Based App that Permits the Exchanges and Creation of User-Generated Content. • Social Media gives clients an easy-to-use way to communicate with each other on an unparalleled scale. • Facebook is a social networking site, with more than 2.74 Billion monthly active users as of 2021.

4. 3 Classification of Social Media • There are 9 types of Social Media: • Online Social Networking • Micro-Blogging • Blogging • Social News • Social Bookmarking • Wikis • Opinion, Rating & Reviews • Answers • Media Sharing

5. 4 What is Social Media Mining? • Social Media are interactive technologies that permit the creation or exchange of ideas, information, career interests, and other forms of appearance via virtual networks and communities. • The primary objectives of the data mining procedure are to efficiently handle large-scale information, gain insightful knowledge, and scrape actionable patterns. • Users on Twitter generate over 500 million Tweets every day.

6. 5 • Scraping Data from Social Media can enlarge research ability to understand new phenomena to develop innovation and offer better opportunities. • Social Media Mining is a growing multidisciplinary area where researchers of various backgrounds can do vital contributions that matter for social media development and research.

7. 6 The Reason For Growth of Social Media Mining • This is How Social Media Growth is Driven: How can a user be heard? Which source of information should a user use? How user experience can be improved?

8. 7 The Amount of Data • For example, Twitter and Facebook report Web data from approximately 2.90 Billion Facebook users and 63.9 million Twitter U.S. visitors per month, respectively. • As per the video-sharing site YouTube, more than 5 billion videos are viewed per day, and 60 hours of videos are uploaded every minute. • The picture sharing site Flickr, as of 2021, hosts more than 6 Billion photo images. • Web-based, collaborative, and multilingual Wikipedia hosts over 20 Million articles attracting over 365 Million readers.

9. 8 Challenges in Social Media Mining • Social Media Data Are: • Vast • Noisy • Distributed • Unstructured • Dynamic These characteristics pose challenges to the data mining task to invent new efficient techniques and algorithms.

10. 9 Tools Used For Social Media Mining • Twitter Tools • Data Mining Tools • Text Mining Tools • Cloud4Trend • Twitter Tracker • Google Fast Flip

11. 10 What is The Use of Data Mining in Social Media? • You will get Social Media Data Everywhere • Overload of Data • Data Overloaded (Blogs, Photos, Videos, Bookmarks) • Interaction Overloaded (Taggers, Friends, Followers) How to Scrape Data from this Chaos? (Social Media captures the‘ pulse of humanity’) • Directly study behavior & opinion of millions of users to increase insight into: • Product Sentiments • Human Behavior • Market Analytics

12. 11 Application of Social Media Mining • Personalization • Suggesting Markets • Targeted Marketing • Community Analysis • Sentiment Analysis • Opinion Mining • Social Recommendation • Influence Modeling

13. 12 Research Issues in Social Media Mining • Community Analysis • Social Recommendation • Influence Modeling • Sentiment Issue in Social Media Mining • Privacy, Trust, and Security • Information Diffusion and Provenance

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