Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …

Sequences of events, items, or tokens occurring in an ordered metric space appear often in
data and the requirement to detect and analyze frequent subsequences is a common …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

With the huge amount of information available online, the World Wide Web is a fertile area
for data mining research. The Web mining research is at the cross road of research from …

We present a new keyword extraction algorithm that applies to a single document without
using a corpus. Frequent terms are extracted first, then a set of co-occurrences between …

Collocation is a common language phenomenon which has attracted the interest of
researchers in many subfields of both theoretical and computational linguistics. Although …

Purpose The link between wine and tourism is increasingly important for the competitive
advantage of the territory and its productions, and it must be adequately communicated, in …

It has become increasingly crucial and imperative to facilitate knowledge extraction for
decision support and deliver targeted information to analysts that span wide application …

Recent days, the concept of data mining and the need for it, its objectives and its uses in
various fields, explain its procedures and tools, the type of data that is mined, and the …

Concept hierarchies have been useful tools for presenting and organizing knowledge. With
the rapid growth in the number of online knowledge resources, automatic concept hierarchy …