Sökning: "thesis for natural language processing"

Visar resultat 1 - 5 av 300 uppsatser innehållade orden thesis for natural language processing.

1. 1. Named Entity Recognition for Detecting Trends in Biomedical Literature

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Betty Törnkvist; [2024]
   Nyckelord :NLP NER CHO;

   Sammanfattning : The number of publications in the biomedical field increases exponentially, which makes the task of keeping up with current research more and more difficult. However, rapid advances in the field of Natural Language Processing (NLP) offer possible solutions to this problem. LÄS MER

3. 2. Incremental Re-tokenization in BPE-trained SentencePiece Models

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Hellsten; [2024]
   Nyckelord :BPE; Byte Pair Encoding; SentencePiece; NLP; Natural Language Processing; Tokenization; Re-tokenization;

   Sammanfattning : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. LÄS MER

4. 3. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Maria Irena Szawerna; [2023-06-19]
   Nyckelord :language variation; Polish; diachronic linguistics; part-of-speech tagging; lemmatization; corpus linguistics;

   Sammanfattning : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. LÄS MER

5. 4. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Li Ang Hu; Long Ma; [2023]
   Nyckelord :Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

   Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER

7. 5. Techno-economic analysis and simulation of low temperature district heating networks

   Master-uppsats, Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljö

   Författare :Ilia Iarkov; [2023]
   Nyckelord :Low-temperature district heating; Modelica; BTES; LCA; LCC; Technology and Engineering;

   Sammanfattning : The continuous increase in global energy consumption has led to a greater focus on the energy required for heating buildings. This thesis presents a techno-economic model for analysing low-temperature district heating networks coupled with a geothermal heat source. LÄS MER