Sökning: "automatic text categorization"
Hittade 4 avhandlingar innehållade orden automatic text categorization.
1. 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
2. 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
3. Clustering in Swedish : The Impact of some Properties of the Swedish Language on Document Clustering and an Evaluation Method
Sammanfattning : Text clustering divides a set of texts into groups, so that texts within each group 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 known ones. LÄS MER
4. Graph Algorithms for Large-Scale and Dynamic Natural Language Processing
Sammanfattning : In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language. These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. LÄS MER