Sökning: "multinomial naive Bayes"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden multinomial naive Bayes.

1. 1. 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

3. 2. System Integration and Verification Verdict Automation using Machine Learning

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Anthony Kommareddy; [2023]
   Nyckelord :Error Detection; Machine Learning; Deep Learning; Log Files; Verdicts.;

   Sammanfattning : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. LÄS MER

4. 3. Maskininlärning för dokumentklassificering av finansielladokument med fokus på fakturor

   Uppsats för yrkesexamina på avancerad nivå, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Nawar Khalid Saeed; [2022]
   Nyckelord :Document classification; Text classification; Invoices; NLP; TF-IDF; Doc2vec; Machine Learning; Logistic Regression; Multinomial Naïve Bayes; Support Vector Machine.; Dokumentklassificering; Textklassificering; Fakturor; NLP; TF-IDF; Doc2vec; Maskininlärning; Logistic Regression; Multinomial Naïve Bayes; Support Vector Machine.;

   Sammanfattning : Automatiserad dokumentklassificering är en process eller metod som syftar till att bearbeta ochhantera dokument i digitala former. Många företag strävar efter en textklassificeringsmetodiksom kan lösa olika problem. LÄS MER

5. 4. Classification Models for Activity Recognition using Smart Phone Accelerometers

   Magister-uppsats, Umeå universitet/Statistik

   Författare :Biswas Kumar; [2022]
   Nyckelord :;

   Sammanfattning : The huge amount of data generated by accelerometers in smartphones creates new opportunities for useful data mining applications. Machine Learning algorithms can be effectively used for tasks such as the classification and clustering of physical activity patterns. LÄS MER

7. 5. All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers

   Kandidat-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :David Michel; [2021]
   Nyckelord :sentiment analysis; news sentiment; text classification; cross-domain sentiment classification; domain specificity; domain-transfer problem; transfer learning; knowledge transfer; support vector machines; SVM; multinomial naive Bayes; Sweden; Aurora 17; Russia; Russian news; RT; Sputnik; cyberwarfare; influence campaign; disinformation; fake news; propaganda;

   Sammanfattning : This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted. LÄS MER