Social Media Mining (Wintersemester 2022/2023)

Dozent: Prof. Dr. Christoph Meinel (Internet-Technologien und -Systeme) , M.Sc. Ali Alhosseini (Internet-Technologien und -Systeme)

Allgemeine Information

Semesterwochenstunden: 4
ECTS: 6
Benotet: Ja
Einschreibefrist: 01.10.2022 - 09.11.2022
Prüfungszeitpunkt §9 (4) BAMA-O: 01.03.2023
Lehrform: Seminar / Projekt
Belegungsart: Wahlpflichtmodul
Lehrsprache: Englisch
Maximale Teilnehmerzahl: 12

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA

ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-T Techniken und Werkzeuge
ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge

Data Engineering MA

DANA: Data Analytics
- HPI-DANA-K Konzepte und Methoden
DANA: Data Analytics
- HPI-DANA-T Techniken und Werkzeuge
DANA: Data Analytics
- HPI-DANA-S Spezialisierung
DAPP: Data Applications
- HPI-DAPP-K Konzepte und Werkzeuge
DAPP: Data Applications
- HPI-DAPP-T Techniken und Werkzeuge
DAPP: Data Applications
- HPI-DAPP-S Spezialisierung

Digital Health MA

APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization

Software Systems Engineering MA

OISY: Online and Interactive Systems
- HPI-OISY-C Concepts and Methods
OISY: Online and Interactive Systems
- HPI-OISY-T Technologies and Tools
OISY: Online and Interactive Systems
- HPI-OISY-S Specialization
MALA: Machine Learning and Analytics
- HPI-MALA-C Concepts and Methods
MALA: Machine Learning and Analytics
- HPI-MALA-T Technologies and Tools
MALA: Machine Learning and Analytics
- HPI-MALA-S Specialization

Beschreibung

Individuals have an intrinsic need to express themselves to other humans within a given community by sharing their experiences, thoughts, actions, and opinions. As a means, they mostly prefer to use modern online social media platforms such as Twitter, Facebook, personal blogs, and Reddit. Users of these social networks are interacting with each other by drafting their own statuses updates, publishing photos and giving likes leaving a huge amount of data behind them to be analyzed. Recently, researchers started to explore the shared social media data to create solutions based on different types of machine learning algorithms in order to finally integrate them into humans' life. One of the areas that we study here in HPI is how to predict users’ Big 5 Personality Traits such as agreeableness, conscientiousness, extraversion, neuroticism and openness to experience from social media streams. We also develop multiple types of neural network models to find identify and classify bots online.

In this seminar, we will focus on understanding and analyzing social media streams from different platforms such as (Facebook, Twitter, Instagram, Blogs, Reddit, Linked In, Xing) to reveal potential relationships and to visualize the dynamics of the social platform. Several data mining technologies will be used within the selected topics in this seminar. Our research group is working extensively at cross-domain studies as psychology in big data streams, individuals personality prediction from his/her posts, likes, friends network & profile pictures. Also, we are working on detecting and profiling bots at various social platforms using classical and advanced machine learning algorithms. Definitely, we are open to any new research ideas that fit under the umbrella of social media analytics.