Essays about: "accuracy of information provided to customers"

Showing result 1 - 5 of 9 essays containing the words accuracy of information provided to customers.

1. 1. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Oskar Nilsson; Benjamin Lilje; [2023]
   Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

   Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE

3. 2. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Arooba Ghaffar; [2022]
   Keywords : Bankruptcy prediction; Earnings Calls; Machine Learnings; Deep Learnings; Corporate failures; Web Scraping; Financial Data; Extracted Data;

   Abstract : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. READ MORE

4. 3. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Hector Nyblom; [2022]
   Keywords : Automatic Speech Recognition; Deep Learning; Machine Learning; Natural Language Processing; Media Monitoring;

   Abstract : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. READ MORE

5. 4. Increasing Retention in Insurtechs Through Churn Prediction

   University essay from Lunds universitet/Innovationsteknik

   Author : John Rapp Farnes; Oskar Christiansen; [2021]
   Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

   Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

6. 5. Modeling and understanding customers preference for product sustainability information using Machine Learning techniques

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Vedasree Reddy Sapatapu; Apoorva Kothapally; [2021]
   Keywords : Machine Learning; Data Mining; Sustainability; Customer Preference;

   Abstract : Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. READ MORE