Recent advances in microblog content summarization has primarily viewed this task in the
context of traditional multi-document summarization techniques where a microblog post or …

The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

Congested roads and daily traffic jams cause traffic disturbances. A traffic monitoring system
using closed-circuit television (CCTV) has been implemented, but the information gathered …

Linking textual content to entities from the knowledge graph has received increasing
attention in the context of which surface form representations of entities, eg, terms or …

Within the context of Twitter analytics, the notion of implicit entity linking has recently been
introduced to refer to the identification of a named entity, which is central to the topic of the …

Entity search plays a crucial role in various information access domains, where users seek
information about specific entities. Despite significant research efforts to improve entity …

As the emergence of E-commerce services, billions of products are sold online everyday.
How to detect illegal products from the large-scale online products has become an important …

The purpose of influence maximization problem is to select a small seed set to maximize the
number of nodes influenced by the seed set. For viral marketing, the problem of influence …

Natural language processing (NLP) is a field of study that focuses on data analysis on texts
with certain methods. NLP includes tasks such as sentiment analysis, spam detection, entity …

The relationship extraction and network fusion are hotspots of current research in social
network mining. Since the types of data are manifold, researchers can utilize multi-type data …