Sökning: "Customer Support Tickets"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Customer Support Tickets.

1. 1. Improving customer support efficiency through decision support powered by machine learning

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Simon Boman; [2023]
   Nyckelord :Machine Learning; AI; NLP; Natural Language Processing; GPT-3; GPT-4; Recommendation System; Decision Support; Semantic Textual Similarity; Text Similarity; Customer Support Tickets; Case Study; Customer Support Efficiency; Healthcare; Medical Technology;

   Sammanfattning : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. LÄS MER

3. 2. Understand me, do you? : An experiment exploring the natural language understanding of two open source chatbots

   M1-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Linnéa Olofsson; Heidi Patja; [2021]
   Nyckelord :chatbot; natural language processing; natural language understanding; intent classification;

   Sammanfattning : What do you think of when you hear the word chatbot? A helpful assistant when booking flight tickets? Maybe a frustrating encounter with a company’s customer support, or smart technologies that will eventually take over your job? The field of chatbots is under constant development and bots are more and more taking a place in our everyday life, but how well do they really understand us humans?  The objective of this thesis is to investigate how capable two open source chatbots are in understanding human language when given input containing spelling errors, synonyms or faulty syntax. The study will further investigate if the bots get better at identifying what the user’s intention is when supplied with more training data to base their analysis on. LÄS MER

4. 3. Extracting Customer Sentiments from Email Support Tickets : A case for email support ticket prioritisation

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Albert Fiati-Kumasenu; [2019]
   Nyckelord :Machine Learning; Natural Language Processing; Sentiment Analysis; Cluster Ensemble; VADER; Customer support;

   Sammanfattning : Background Daily, companies generate enormous amounts of customer support tickets which are grouped and placed in specialised queues, based on some characteristics, from where they are resolved by the customer support personnel (CSP) on a first-in-first-out basis. Given that these tickets require different levels of urgency, a logical next step to improving the effectiveness of the CSPs is to prioritise the tickets based on business policies. LÄS MER

5. 4. Binary classification for predicting propensity to buy flight tickets. : A study on whether binary classification can be used to predict Scandinavian Airlines customers’ propensity to buy a flight ticket within the next seven days.

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Martin Andersson; Marcus Mazouch; [2019]
   Nyckelord :statistics; classification; machine learning; logistic regression; support vector machine; rbf; significance; prediction; propensity to buy; flight; tickets; ai; artificiell intelligens; walds test; sas; scandinavian airlines; statistik; klassificering; maskininlärning; logistic regression; support vector machine; rbf; signifikans; walds test; prediktion; benägenhet att köpa; flight; biljett; flyg; ai; artificial intelligence; sas; scandinavian airlines;

   Sammanfattning : A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. LÄS MER

7. 5. A Machine Learning approach to churn prediction in a subscription-based service

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

   Författare :Clas Blank; Tomas Hermansson; [2018]
   Nyckelord :machine learning; churn; subscription; random forest; SVM; neural network; logistic regression; gini impurity; features;

   Sammanfattning : Prenumerationstjänster blir alltmer populära i dagens samhälle. En av nycklarna för att lyckas med en prenumerationsbaserad affärsmodell är att minimera kundbortfall (eng. churn), dvs. kunder som avslutar sin prenumeration inom en viss tidsperiod. LÄS MER