Sökning: "Sentence-BERT"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Sentence-BERT.

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. Semantic Similarity Comparison of Political Statements by ChatGPT and Political Representatives

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

   Författare :Sebastian Lihammer; [2023]
   Nyckelord :ChatGPT; Deep learning; Artificial intelligence; Politics; Semantic similarity; ChatGPT; Djupinlärning; Artificiell intelligens; Politik; Semantisk likhet;

   Sammanfattning : ChatGPT is a recently released chatbot that through the use of deep learning can generate human-like statements on a variety of topics. Deep learning models have a potential to affect politics. They can for instance be used as a source for political information or be used to create and spread political messages. LÄS MER

4. 3. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings

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

   Författare :Sabrina Chowdhury; [2022]
   Nyckelord :Natural Language Processing; Hybrid Recommender Systems; Cold-Start Problem; språkteknologi; hybrida rekommendationssystem; kallstartsproblemet;

   Sammanfattning : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. LÄS MER

5. 4. Semi-supervised Sentiment Analysis for Sentence Classification

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Eirini Tsakiri; [2022]
   Nyckelord :sentiment analysis; text classification; semi-supervised learning; machine learning;

   Sammanfattning : In our work, we deploy semi-supervised learning methods to perform Sentiment Analysis on a corpus of sentences, meant to be labeled as either happy, neutral, sad, or angry. Sentence-BERT is used to obtain high-dimensional embeddings for the sentences in the training and testing sets, on which three classification methods are applied: the K-Nearest Neighbors classifier (KNN), Label Propagation, and Label Spreading. LÄS MER

7. 5. Machine learning for detecting fraud in an API

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

   Författare :Anna Sánchez Espunyes; [2022]
   Nyckelord :Fraud detection; Machine learning; Supervised learning; Sentence-BERT; Web API; Bedrägeriupptäckt; Maskininlärning; Övervakad inlärning; Sentence-BERT; Web API;

   Sammanfattning : An Application Programming Interface (API) provides developers with a high-level framework that abstracts the underlying implementation of services. Using an API reduces the time developers spent on implementation, and it encourages collaboration and innovation from third-party developers. LÄS MER