论文标题

利用社交网络。技术趋势(Habiliting论文)

Exploiting Social Networks. Technological Trends (Habilitation Thesis)

论文作者

Iftene, Adrian

论文摘要

Habilitation论文提出了两个主要方向: 1。从社交网络(Twitter,Facebook,Flickr等)中利用数据 - 为文本和图像处理创建资源(分类,检索,信誉,多元化等); 2。使用新技术创建应用程序:增强现实(电子学习,智能博物馆,美食等),虚拟现实(电子学习和游戏),与Amazon Alexa(电子学习,娱乐,娱乐,IoT等)进行语音处理。 这项工作得到了评估活动的良好结果,例如CLEF(问答,图像Clef,lifeclef等),Semeval(文本,厌食等)。

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.).

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源