Sökning: "Word Vector Models"
Visar resultat 11 - 15 av 21 uppsatser innehållade orden Word Vector Models.
11. Automatic Dispatching of Issues using Machine Learning
Master-uppsats, Linköpings universitet/Programvara och system; Linköpings universitet/Tekniska fakultetenSammanfattning : Many software companies use issue tracking systems to organize their work. However, when working on large projects, across multiple teams, a problem of finding the correctteam to solve a certain issue arises. One team might detect a problem, which must be solved by another team. LÄS MER
12. High-risk Consumer Credit Scoring using Machine Learning Classification
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The use of statistical models in credit rating and application scorecard modelling is a thoroughly explored field within the financial sector and a central component in a credit institution’s underlying business model. The aim of this report was to apply and compare six different machine learning models in predicting credit defaults for high-risk consumer credits, using a data set provided by a Swedish consumer credit institute. LÄS MER
13. Duplicate Detection and Text Classification on Simplified Technical English
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis investigates the most effective way of performing classification of text labels and clustering of duplicate texts in technical documentation written in Simplified Technical English. Pre-trained language models from transformers (BERT) were tested against traditional methods such as tf-idf with cosine similarity (kNN) and SVMs on the classification task. LÄS MER
14. Text feature mining using pre-trained word embeddings
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis explores a machine learning task where the data contains not only numerical features but also free-text features. In order to employ a supervised classifier and make predictions, the free-text features must be converted into numerical features. In this thesis, an algorithm is developed to perform that conversion. LÄS MER
15. Email Classification with Machine Learning and Word Embeddings for Improved Customer Support
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikSammanfattning : Classifying emails into distinct labels can have a great impact on customer support. By using machine learning to label emails the system can set up queues containing emails of a specific category. This enables support personnel to handle request quicker and more easily by selecting a queue that match their expertise. LÄS MER