Sökning: "Text classification"
Visar resultat 1 - 5 av 61 avhandlingar innehållade orden Text classification.
1. A novel approach to text classification
Sammanfattning : This thesis explores the foundations of text classification, using both empirical and deductive methods, with a focus on author identification and syntactic methods. We strive for a thorough theoretical understanding of what affects the effectiveness of classification in general. LÄS MER
2. 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
3. Automated Subject Classification of Textual Documents in the Context of Web-Based Hierarchical Browsing
Sammanfattning : With the exponential growth of the World Wide Web, automated subject classification has become a major research issue. Organizing web pages into a hierarchical structure for subject browsing has been gaining more recognition as an important tool in information-seeking processes. LÄS MER
4. I see what you mean
Sammanfattning : This thesis aims to identify linguistic factors that affect readability and text comprehension, viewed as a function of text complexity. Features at various linguistic levels suggested in existing literature are evaluated, including the Swedish readability formula LIX. LÄS MER
5. Extracting Clinical Findings from Swedish Health Record Text
Sammanfattning : Information contained in the free text of health records is useful for the immediate care of patients as well as for medical knowledge creation. Advances in clinical language processing have made it possible to automatically extract this information, but most research has, until recently, been conducted on clinical text written in English. LÄS MER