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Visar resultat 1 - 5 av 16 avhandlingar som matchar ovanstående sökkriterier.
1. Text Clustering Exploration : Swedish Text Representation and Clustering Results Unraveled
Sammanfattning : Text clustering divides a set of texts into clusters (parts), so that texts within each cluster are similar in content. It may be used to uncover the structure and content of unknown text sets as well as to give new perspectives on familiar ones. LÄS MER
2. With or without context : Automatic text categorization using semantic kernels
Sammanfattning : In this thesis text categorization is investigated in four dimensions of analysis: theoretically as well as empirically, and as a manual as well as a machine-based process. In the first four chapters we look at the theoretical foundation of subject classification of text documents, with a certain focus on classification as a procedure for organizing documents in libraries. LÄS MER
3. Extracting Text into Meta-Data : Improving machine text-understanding of news-media articles
Sammanfattning : Society is constantly in need of information. It is important to consume event-based information of what is happening around us as well as facts and knowledge. As society grows, the amount of information to consume grows with it. LÄS MER
4. Skolämnesspecifikt läsande i tidiga skolår
Sammanfattning : The overall purpose of this licentiate thesis is to shed light on how reading is constructed in different year 1 school subjects. The focus of the study is reading and how teachers create conditions for students to understand text via text conversations and via textbook texts used in Mathematics, Swedish and Technology. LÄS MER
5. Automated subject classification of textual web pages, for browsing
Sammanfattning : With the exponential growth of the World Wide Web, automated subject classification of Web pages has become a major research issue in information and computer sciences. Organizing Web pages into a hierarchical structure for subject browsing is gaining more recognition as an important tool in information-seeking processes. LÄS MER