Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

People go to fortune tellers in hopes of learning things about their future. A future career
path is one of the topics most frequently discussed. But rather than rely on" black arts" to …

Microblogging, like Twitter and Sina Weibo, has become a popular platform of human
expressions, through which users can easily produce content on breaking news, public …

Recent years have witnessed the unprecedented growth of online social media, which
empower short texts as the prevalent format for information of Internet. Given the nature of …

Trust plays a crucial role for online users who seek reliable information. However, in reality,
user-specified trust relations are very sparse, ie, a tiny number of pairs of users with trust …

Das Buch bietet für Einsteiger* innen Erklärungen darüber, wie eine geeignete qualitative
oder quantitative inhaltsanalytische Methode abhängig von a) Forschungsinteresse und b) …

Millions of users share their opinions on Twitter, making it a valuable platform for tracking
and analyzing public sentiment. Such tracking and analysis can provide critical information …

In this proposal, we study the problem of understanding human sentiments from large scale
collection of Internet images based on both image features and contextual social network …