Sökning: "Text Classification"
Visar resultat 6 - 10 av 362 uppsatser innehållade orden Text Classification.
6. Active learning for text classification in cyber security
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. LÄS MER
7. Information Extraction for Test Identification in Repair Reports in the Automotive Domain
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. LÄS MER
8. Målgruppsindelning och sociala kategorier i ett remissförfarande : En kvalitativ studie om inkomna remissvar angående en ny socialtjänstlag
Kandidat-uppsats, Linnéuniversitetet/Institutionen för socialt arbete (SA)Sammanfattning : To categorize groups of people is a necessity in our society. Categorization of people is used by decision makers and authorities. In the national social service legislation, categorization can be used to instruct municipalities to prioritize vulnerable groups of clients in need of support and services. LÄS MER
9. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER
10. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. LÄS MER