Essays about: "multinomial naive Bayes"

Showing result 1 - 5 of 20 essays containing the words 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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Statistik

    Author : Biswas Kumar; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 4. 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

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : David Michel; [2021]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. Sentiment analysis of movie reviews in Chinese

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Jun Zhang; [2020]
    Keywords : sentiment analysis; classification strategies; feature selection; machine learning; embedding; deep learning;

    Abstract : Sentiment analysis aims at figuring out the opinions of the users towards a certain service or product. In this research, the aim is at classifying the sentiments of users based on the comments they have posed on Douban movie website. READ MORE