Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

This paper addresses the problem of Named Entity Recognition in Query (NERQ), which
involves detection of the named entity in a given query and classification of the named entity …

On one hand, compared with traditional relational and XML models, graphs have more
expressive power and are widely used today. On the other hand, various applications of …

While the study of geometry has mainly concentrated on single viewpoint (SVP) cameras,
there is growing attention to more general non-SVP systems. Here, we study an important …

Understanding the intent behind a user's query can help search engine to automatically
route the query to some corresponding vertical search engines to obtain particularly relevant …

With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

This work presents the use of click graphs in improving query intent classifiers, which are
critical if vertical search and general-purpose search services are to be offered in a unified …

Regulatory standards, designed to protect the safety, security, and privacy of the public,
govern numerous areas of software intensive systems. Project personnel must therefore …