The goal of this research is to design a multi-label classification model which determines the
research topics of a given technical paper. Based on the idea that papers are well organized …

Cette thèse se situe dans le domaine du Traitement Automatique des Langues et vise à
optimiser la classification des documents dans les moteurs de recherche. Les travaux se …

As the amount of on-line text keeps growing, it becomes increasingly difficult for humans to
process the deluge of information in the time available. We need automatic text processing …

This paper presents a supervised multi-engine classifier approach followed by voting to
identify emotion topic (s) from English blog sentences. Manual annotation of the English …

We are currently witnessing an information explosion with aid of many micro-blogging
toolkits like the Twitter. Although Twitter provides a list of most popular topics people tweet …

This paper describes an unsupervised hybrid approach to identify emotion topic (s) from
English blog sentences. The baseline system is based on object related dependency …

With the continuously increasing amount of online information, there is a pressing need to
structure this information. Text classification (TC) is a technique which classifies textual …

They represent topic of that document. Keywords are commonly used for search engines
and document databases to locate information and determine if two pieces of test are related …

Die Dissertation Ebenen des Themas. Zur Interaktion von Thema, Text und Wissen
beschäftigt sich mit einem Kernkonzept der Textlinguistik, dem Thema. Dieses Konzept wird …

XML topic maps enable multiple, concurrent views of sets of information objects and can be
used to different applications. However, to enrich the information or metadata of a topic map …