Exploiting Social Networks. Technological Trends (Habilitation Thesis)
Abstract
The habilitation thesis presents two main directions: 1. Exploiting data from social networks (Twitter, Facebook, Flickr, etc.) - creating resources for text and image processing (classification, retrieval, credibility, diversification, etc.); 2. Creating applications with new technologies : augmented reality (eLearning, games, smart museums, gastronomy, etc.), virtual reality (eLearning and games), speech processing with Amazon Alexa (eLearning, entertainment, IoT, etc.). The work was validated with good results in evaluation campaigns like CLEF (Question Answering, Image CLEF, LifeCLEF, etc.), SemEval (Sentiment and Emotion in text, Anorexia, etc.).
Cite
@article{arxiv.2004.14386,
title = {Exploiting Social Networks. Technological Trends (Habilitation Thesis)},
author = {Adrian Iftene},
journal= {arXiv preprint arXiv:2004.14386},
year = {2020}
}
Comments
162 pages, This thesis presents the author's research activity after March 2009 when he defended his Ph.D. Thesis "Textual Entailment" from the artificial intelligence domain, related to natural language processing (NLP)