Sökning: "natural language processing"

Visar resultat 21 - 25 av 584 uppsatser innehållade orden natural language processing.

  1. 21. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alex Peschel; [2023]
    Nyckelord :Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

    Sammanfattning : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. LÄS MER

  3. 22. Natural Language Processing on the Balance of theSwedish Software Industry and Higher VocationalEducation

    Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

    Författare :Emil Bäckstrand; Rasmus Djupedal; [2023]
    Nyckelord :Swedish Software Industry; Higher Vocational Education; Software Engineering; Latent Dirichlet Allocation; Document Frequency Analysis;

    Sammanfattning : The Swedish software industry is fast-growing and in needof competent personnel, the education system is on the frontline of producing qualified graduates to meet the job marketdemand. Reports and studies show there exists a gapbetween industry needs and what is taught in highereducation, and that there is an undefined skills shortageleading to recruitment failures. LÄS MER

  4. 23. Deep Learning Based Sentiment Analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Shashank Kalluri; [2023]
    Nyckelord :Sentiment Analysis; Word Embedding; Deep Learning;

    Sammanfattning : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. LÄS MER

  5. 24. Analyzing Toxicity in YouTube Comments with the Help of Machine Learning

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Sasan Dehkhoda; Jasmyn Ali Gunica; [2023]
    Nyckelord :Toxic comments; YouTube; Machine Learning; Natural Language Processing;

    Sammanfattning : Toxic comments are overall likely to make someone feel uncomfortable and leave a discussion and are therefore potentially problematic. Toxic comments occur online on various social media, and depending on the site, get detected manually or via machine learning algorithms (or both), and removed depending on the severity and other factors. LÄS MER

  7. 25. 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 beräkningsvetenskap

    Författare :Erik Norén; [2023]
    Nyckelord :Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Sammanfattning : 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