Vector representation of Internet domain names using Word embedding techniques

Word embeddings is a well-known set of techniques widely used in natural language processing ( NLP ). This thesis explores the use of word embeddings in a new scenario. A vector space model ( VSM) for Internet domain names ( DNS) is created by taking core ideas from NLP techniques and applying them...

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Bibliographic Details

Main Author:	López Anzolabehere, Waldemar Joel (author)
Format:	masterThesis
Language:	English
Published:	2019
Subjects:	DNS VSM Word embeddings Word2vec FastText App2vec Semantic Similarity Natural Language Processing (NLP) Vectorización de palabras Similitud semántica Procesamiento de Lenguaje Natural (PLN)
Online Access:	https://hdl.handle.net/20.500.12008/27783
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