Essays about: "nmf"

Showing result 1 - 5 of 10 essays containing the word nmf.

1. 1. Help Document Recommendation System

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
   Keywords : Document similarity; Recommender systems; content-based filtering; collaborative filtering; Term Frequency-Inverse Document Frequency TF-IDF ; Bidirectional Encoder Representation from Transformers BERT ; Non-Negative Matrix Factorisation NMF ; cosine similarity; K-means clustering;

   Abstract : Help documents are important in an organization to use the technology applications licensed from a vendor. Customers and internal employees frequently use and interact with the help documents section to use the applications and know about the new features and developments in them. READ MORE

3. 2. Deep Convolutional Nonnegative Autoencoders

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

   Author : Yann Debain; [2020]
   Keywords : ;

   Abstract : In this thesis, nonnegative matrix factorization (NMF) is viewed as a feedbackward neural network and generalized to a deep convolutional architecture with forwardpropagation under β-divergence. NMF and feedfoward neural networks are put in relation and a new class of autoencoders is proposed, namely the nonnegative autoencoders. READ MORE

4. 3. Characterisation of a developer’s experience fields using topic modelling

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Vincent Déhaye; [2020]
   Keywords : topic modelling natural language processing git developer latent dirichlet allocation non-negative matrix factorization topic coherence;

   Abstract : Finding the most relevant candidate for a position represents an ubiquitous challenge for organisations. It can also be arduous for a candidate to explain on a concise resume what they have experience with. READ MORE

5. 4. Exploring NMF and LDA Topic Models of Swedish News Articles

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Karin Svensson; Johan Blad; [2020]
   Keywords : Topic Modeling; NMF; LDA; Swedish News Articles; Text Preprocessing;

   Abstract : The ability to automatically analyze and segment news articles by their content is a growing research field. This thesis explores the unsupervised machine learning method topic modeling applied on Swedish news articles for generating topics to describe and segment articles. READ MORE

6. 5. Customer segmentation of retail chain customers using cluster analysis

   University essay from KTH/Matematisk statistik

   Author : Sebastian Bergström; [2019]
   Keywords : Cluster analysis; customer segmentation; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; big spenders; statistics; applied mathematics; unsupervised learning; Klusteranalys; kundsegmentering; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; storkonsumenter; statistik; tillämpad matematik;

   Abstract : In this thesis, cluster analysis was applied to data comprising of customer spending habits at a retail chain in order to perform customer segmentation. The method used was a two-step cluster procedure in which the first step consisted of feature engineering, a square root transformation of the data in order to handle big spenders in the data set and finally principal component analysis in order to reduce the dimensionality of the data set. READ MORE