|Goals:||Analyze relations between nutrition and emotional well-being based on the experiences reported in social media.|
|Responsible TA:||Pearl Pu|
|Student Name:||Othman Benchekroun|
|Keywords:||Emotion Recognition, Twitter, Data Analysis, Statistics, Social Media Analysis, Nutrition, Well-being|
Nowadays, much about human behavior can be discovered from their online traces in social media. People describe their lives, personal events, their reactions to products and global events, and also reveal their eating preferences. Research studies suggest that having a healthier lifestyle, including eating healthier food, can improve personal well-being and make a person happier. This project will analyze the relations between nutrition and emotional well-being as detected from social media. It will aim to derive more fine-grained patterns of relations between the products we eat and the emotions we experience.
The responsible student will:
|Related Skills:||Programming skills; Statistics; Basic knowledge of Data Mining and/or Machine Learning; Interest in Social Media Analysis, and/or Computational Linguistics|
|Suitable for:||Master Student|