Essays about: "spam thesis"
Showing result 1 - 5 of 15 essays containing the words spam thesis.
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1. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. READ MORE
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3. Characterizing Bitcoin Spam Emails : An analysis of what makes certain Bitcoin spams generate millions of dollars
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Bitcoin scams cause billions of dollars worth of damage every year, targeting both large corporations as well as individuals. A commonly used method for these scams is spam emails. READ MORE
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4. Anomaly Detection on Gas Turbine Time-series’ Data Using Deep LSTM-Autoencoder
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Anomaly detection with the aim of identifying outliers plays a very important role in various applications (e.g., online spam, manufacturing, finance etc.). READ MORE
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5. How does toxicity change depending on rank in League of Legends?
University essay from Uppsala universitet/Institutionen för speldesignAbstract : This thesis aims to investigate toxic remarks in three different ranks in League of Legends, Bronze, Gold, and Diamond. The purpose is to understand how toxic communication between players would change depending on rank. A framework from Neto, Alvino and Becker (2018) was adopted to define and count toxic remarks. READ MORE