Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

This book is concerned with the classification of multilabeled data and other tasks related to
that subject. The goal of this chapter is to formally introduce the problem, as well as to give a …

For many applications that require semantic understanding of short texts, inferring
discriminative and coherent latent topics from short texts is a critical and fundamental task …

Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …

The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …

Text classification can help users to effectively handle and exploit useful information hidden
in large-scale documents. However, the sparsity of data and the semantic sensitivity to …

This book is concerned with the concept, the theories, and the implementations of text
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …

Being a prevalent form of social communications on the Internet, billions of short texts are
generated everyday. Discovering knowledge from them has gained a lot of interest from both …

Spambot detection in online social networks is a long-lasting challenge involving the study
and design of detection techniques capable of efficiently identifying ever-evolving …