Essays about: "Latent Semantic Analysis"

Showing result 11 - 15 of 17 essays containing the words Latent Semantic Analysis.

  1. 11. Investigating the Correlation Between Marketing Emails and Receivers Using Unsupervised Machine Learning on Limited Data : A comprehensive study using state of the art methods for text clustering and natural language processing

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Christoffer Pettersson; [2016]
    Keywords : Machine learning; Unsupervised; Natural language processing; nlp; clustering; centroid based; k-means; text clustering; limited data; email clustering; lsa; svd; tf-idf; dimensionality reduction; the gap statistic; Lloyd s algorithm; vectorization; feature extraction;

    Abstract : The goal of this project is to investigate any correlation between marketing emails and their receivers using machine learning and only a limited amount of initial data. The data consists of roughly 1200 emails and 98.000 receivers of these. Initially, the emails are grouped together based on their content using text clustering. READ MORE

  3. 12. Conjugate-Prior-Regularized Multinomial pLSA for Collaborative Filtering

    University essay from Lunds universitet/Matematik LTH

    Author : Marcus Klasson; [2016]
    Keywords : Recommender systems; Information filtering; Latent class models; Machine learning; Mathematics and Statistics;

    Abstract : Collaborative filtering is a method for making predictions about consumer interests by collecting preferences or information about opinions from other consumers. For this purpose statistical modeling techniques are applied to learn personalized models for each consumer based on every purchase or provided rating to the available items. READ MORE

  4. 13. A Document Recommender Based on Word Embedding

    University essay from KTH/Skolan för elektro- och systemteknik (EES)

    Author : Binlai He; [2015]
    Keywords : natural language processing; recommender system; clustering;

    Abstract : With the booming development of information technology, text information is not only remained in paper-based forms, but also in digital forms which have been distributed all over internet. Massive information on the internet provides us so many options while at the same time makes it hard for us to choose which detail information we exactly need. READ MORE

  5. 14. Word Space Models for Web User Clustering and Page Prefetching

    University essay from Institutionen för datavetenskap; Filosofiska fakulteten

    Author : Albin Sundin; [2012]
    Keywords : LSA; RI; CAS-C; Clustering; Prefetching; Web mining; Segmentering;

    Abstract : This study evaluates methods for clustering web users via vector space models, for the purpose of web page prefetching for possible applications of server optimization. An experiment using Latent Semantic Analysis (LSA) is deployed to investigate whether LSA can reproduce the encouraging results obtained from previous research with Random Indexing (RI) and a chaos based optimization algorithm (CAS-C). READ MORE

  6. 15. Text Analysis - Exploring latent semantic models for information retrieval, topic modeling and sentiment detection

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Erik Jalsborn; Adam Luotonen; [2011-12-07]
    Keywords : ;

    Abstract : With the increasing use of the Internet and social media, the amount of available data has exploded. As most of this data is natural language text, there is a need for efficient text analysis techniques which enable extraction of useful data. READ MORE