Sökning: "Multi-label text classification"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Multi-label text classification.
1. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. LÄS MER
2. Methods for data and user efficient annotation for multi-label topic classification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine Learning models trained using supervised learning can achieve great results when a sufficient amount of labeled data is used. However, the annotation process is a costly and time-consuming task. There are many methods devised to make the annotation pipeline more user and data efficient. LÄS MER
3. Multi-label Text Classification for Symptom Identification
Master-uppsats, Lunds universitet/Institutionen för datavetenskapSammanfattning : .... LÄS MER
4. Automatic Categorization of News Articles With Contextualized Language Models
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : This thesis investigates how pre-trained contextualized language models can be adapted for multi-label text classification of Swedish news articles. Various classifiers are built on pre-trained BERT and ELECTRA models, exploring global and local classifier approaches. LÄS MER
5. Evaluation of Active Learning Strategies for Multi-Label Text Classification
Master-uppsats, Lunds universitet/Institutionen för datavetenskapSammanfattning : .... LÄS MER