The objective of this case study is to illustrate how text mining of open-ended responses and sentimental expressions (positive or negative) from student survey could yield valuable information for improving student experience management (SEM). The concept of student SEM was borrowed from the...

For more than 2 decades the popularity of text messages has been continuously increasing. At the same time the abuse of short message services (SMS) in terms of SMS-Spam is also increasing and leads to high costs and data security issues for mobile users as well as for service providers. In this...

Network and graph model is a good alternative to analyze huge collective textual data for the ability to reduce the dimensionality of the data. Texts can be seen as syntactic and semantic network among words and phrases seen as concepts. The model is implemented to observe the proposals of...

This research proposes a novel method of measuring the dynamics of semantic relatedness. Research on semantic relatedness has a long history in the fields of computational linguistics, psychology, computer science, as well as information systems. Computing semantic relatedness has played a...

Bevor Siri Einzug hielt in jedes iPhone, blitzten die Erfinder der virtuellen persönlichen Assistentin bei einem Investor nach dem anderen ab. Keiner glaubte daran, dass ein Computer Sprache nicht nur erkennen, sondern auch verstehen kann. Doch dann klingelte das Telefon - und Steve Jobs war dran.

Using advances in text analysis, we examine the content and timing of 21,493 press releases issued by the U.S. Environmental Protection Agency (EPA) between 1994 and 2009. Press releases announcing enforcement actions or regulatory changes were issued more often on Fridays and before holidays, a...

We present a hierarchical classification based on n-ary relations of the entities. Starting from the finest partition that can be obtained from the attributes, we distinguish between entities having the same attributes by using relations between entities. The classification that we get is thus a...

Die hier vorliegende Forschungsarbeit hat zum Ziel, Erkenntnisse über den Einfluss der Vorverarbeitung auf die Ergebnisse der Wissensgenerierung zu gewinnen und konkrete Handlungsempfehlungen für die geeignete Vorverarbeitung von Textkorpora in Text Data Mining (TDM) Vorhaben zu geben. Der...

I nhaltsverzeichnis 1 E inleitung 1 1.1 Für wen dieses Buch ist - und für wen nicht 1 1.2 Die Beispieldaten 2 1.3...

Chinese is one of the oldest and most widely used languages with an ideographic writing system. It is curious to analyze the advantages and disadvantages of Chinese in cognitive linguistics, cognitive informatics, and knowledge science. This paper presents a comparative study on the fundamental...

Inhaltsverzeichnis Tabellenverzeichnis 11 Schaubildverzeichnis 13 Formalia - Leitfaden zur formalen Struktur dieser Arbeit 15 ...

Authorship analysis by means of textual features is an important task in linguistic studies. We employ complex networks theory to tackle this disputed problem. In this work, we focus on some measurable quantities of word co-occurrence network of each book for authorship characterization. Based...