Sökning: "Spam filtering"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Spam filtering.

  1. 1. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites

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

    Författare :Ernest Pokropek; [2023]
    Nyckelord :Machine learning; Spam detection; Mass-produced spam; Global adult online services; Maskininlärning; Detektering av Spam; Massproducerad Spam; Globala Webbplatser som Erbjuder Eskorttjänster;

    Sammanfattning : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. LÄS MER

  3. 2. Sentiment Analysis on Youtube Comments to Predict Youtube Video Like Proportions

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

    Författare :Isac Lorentz; Gurjiwan Singh; [2021]
    Nyckelord :;

    Sammanfattning : Social media websites are some of the world’s most popular websites and allow all users to have a voice and express opinions and emotions. Using sentiment analysis, these users’ opinions and emotions can be extracted and quantified. LÄS MER

  4. 3. Using Artificial Neural Networks to optimize scattering probabilities

    Kandidat-uppsats, Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation

    Författare :Erik Rustas; [2021]
    Nyckelord :Machine Learning; Artificial Neural Network; Monte Carlo Method; Unweighting; Physics and Astronomy;

    Sammanfattning : Monte Carlo event generators are used by theoretical particle physicists to get a better understanding of the phenomena in particle physics. Given the improvements in precision and accuracy of event generators, using these tools can be very CPU intensive. LÄS MER

  5. 4. How mail components on the server side detects and process undesired emails : a systematic literature review

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Anton Ahlborg; [2021]
    Nyckelord :;

    Sammanfattning : As the use of emails increases constantly every year, so do the reports of various victims in society, on companies and individuals who have been affected by these undesirable emails in the form of spam, spoofing and phishing in their inbox. The effect of undesirable emails are many, but in summary, they cost the society and organization immense amount of money. LÄS MER

  7. 5. EVALUATION OF MACHINE LEARNING ALGORITHMS FOR SMS SPAM FILTERING

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :David Bäckman; [2019]
    Nyckelord :;

    Sammanfattning : The purpose of this thesis is to evaluate different machine learning algorithms and methods for text representation in order to determine what is best suited to use to distinguish between spam SMS and legitimate SMS. A data set that contains 5573 real SMS has been used to train the algorithms K-Nearest Neighbor, Support Vector Machine, Naive Bayes and Logistic Regression. LÄS MER