# Exploiting Social Networks. Technological Trends (Habilitation Thesis)

Source: [Exploiting Social Networks. Technological Trends (Habilitation Thesis)](<https://www.sota2.com/research/paper/68fa676f1e209131cea16339>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:14:13.437Z

Authors: Adrian Iftene

Published: 2020-04-30T06:01:51.000Z

## 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.).

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2004.14386>)

[PDF](<https://arxiv.org/pdf/2004.14386.pdf>)