Sökning: "sentence embeddings"

Visar resultat 6 - 10 av 37 uppsatser innehållade orden sentence embeddings.

1. 6. 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

3. 7. 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

4. 8. 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

5. 9. Free-text Informed Duplicate Detection of COVID-19 Vaccine Adverse Event Reports

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Erik Turesson; [2022]
   Nyckelord :Duplicate detection; Deduplication; Record linkage; Adverse Event Reports; COVID-19 Vaccines; Uppsala Monitoring Centre; VigiBase; Machine Learning; Gradient Boosted Decision Trees; BERT; Natural Language Processing; Pharmacovigilance; Individual Case Safety Reports;

   Sammanfattning : To increase medicine safety, researchers use adverse event reports to assess causal relationships between drugs and suspected adverse reactions. VigiBase, the world's largest database of such reports, collects data from numerous sources, introducing the risk of several records referring to the same case. LÄS MER

7. 10. Evaluation of the performance of machine learning techniques for email classification

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

   Författare :Isabella Tapper; [2022]
   Nyckelord :Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

   Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER