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

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

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...

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Bibliographic Details
Main Author: Pettersson, Christoffer
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2016
Subjects:
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
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189147

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189147

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