Sökning: "SVM"

Visar resultat 21 - 25 av 371 uppsatser innehållade ordet SVM.

  1. 21. Predicting SNI Codes from Company Descriptions : A Machine Learning Solution

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

    Författare :Erik Lindholm; Jonas Nilsson; [2023]
    Nyckelord :Machine learning; text classification; SNI; Naive Bayes; SVM; oversampling; undersampling;

    Sammanfattning : This study aims to develop an automated solution for assigning area of industry codes to businesses based on the contents of their business descriptions. The Swedish standard industrial classification (SNI) is a system used by Statistics Sweden (SCB) for categorizing businesses for their statistics reports. LÄS MER

  3. 22. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Aanchal Upreti; [2023]
    Nyckelord :Software Engineering;

    Sammanfattning : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. LÄS MER

  4. 23. Design an emotionally positive experience via sentiment classification for social media recommendation systems : A case study in TikTok

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yawen Deng; [2023]
    Nyckelord :recommendation system; social application; sentiment classification; emotions; UX; rekommendationssystem; social tillämpning; känslolägesklassificering; känslor; UX;

    Sammanfattning : Recommendation system benefits social media by attracting users with the posts they prefer. The recommended posts, however, may not align with what users really need to browse, especially in terms of emotion. LÄS MER

  5. 24. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ann Abeysekera; Elina Tayebi; [2023]
    Nyckelord :;

    Sammanfattning : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. LÄS MER

  7. 25. A Hybrid Approach to Hate Speech Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Rickardsson; [2023]
    Nyckelord :;

    Sammanfattning : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. LÄS MER