Sökning: "NLP"
Visar resultat 16 - 20 av 363 uppsatser innehållade ordet NLP.
16. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer
Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER
17. EcoBot : study design and development of a persuasive FSM-free Chatbot for energy saving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This study presents the development and evaluation of a conversational agent, EcoBot, designed to inform users about their energy habits and persuade them to save more energy when at home, to help fight climate change and energy waste. To reach this goal, three persuasion strategies were first identified: Feedback, to give users personalized suggestions based on their habits, Goal Setting, to set and track consumption goals for the user’s domestic appliances, and Social Comparison, to compare the user’s consumption with that of others. LÄS MER
18. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. LÄS MER
19. Detection of insurance fraud using NLP and ML
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER
20. 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