Essays about: "S-BERT"

Found 5 essays containing the word S-BERT.

1. 1. Design Extractor: A ML-based Tool for CapturingSoftware Design Decisions

   University essay from Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

   Author : Petrus Söderström; [2023]
   Keywords : machine learning; natural language processing; design decisions; software design; voice recognition;

   Abstract : Context: A software project’s success; involvinga larger group of individuals, relies on efficient teamcommunication. Part of efficient communication is avoidingmiscommunication, misunderstandings, and losingknowledge. These consequences of poor communication canlead to negative repercussions such as loss of time, money,and customer approval. READ MORE

3. 2. Machine learning for detecting fraud in an API

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

4. 3. Automated Trouble Report Labeling : In The Telecom Industry

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Bergkvist Alexander; [2022]
   Keywords : Support Ticket labeling;

   Abstract : Trouble reporting is a substantial component in any technical product's maintenance workflow. In this project, we investigated a set of methods for streamlining this workflow, using both software solutions and machine learning. The aim was to find a way of grouping trouble reports for easier analysis and other potential usecases down the line. READ MORE

5. 4. Clustering and Summarization of Chat Dialogues : To understand a company’s customer base

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Oskar Hidén; David Björelind; [2021]
   Keywords : Machine Learning; NLP; Text Representations; Clustering; Extractive summarization; TFIDF; S-BERT; FastText; K-means; DBSCAN; HDBSCAN; LSA; TextRank; Word Mover s Distance WMD ;

   Abstract : The Customer Success department at Visma handles about 200 000 customer chats each year, the chat dialogues are stored and contain both questions and answers. In order to get an idea of what customers ask about, the Customer Success department has to read a random sample of the chat dialogues manually. READ MORE

6. 5. Graph convolutional network based friendship recommender system for a social network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Harsha Holenarasipura Narasanna; [2020]
   Keywords : ;

   Abstract : This thesis aims to design and develop a deep neural network for friendship recommendations, and quantify its superior performance over a non-learned model for a given social network platform. The given social network consists of a large number of users over 120,000. READ MORE