A Survey on Information Retrieval, Text Categorization, and Web Crawling
Information Retrieval
2012-12-11 v1
Abstract
This paper is a survey discussing Information Retrieval concepts, methods, and applications. It goes deep into the document and query modelling involved in IR systems, in addition to pre-processing operations such as removing stop words and searching by synonym techniques. The paper also tackles text categorization along with its application in neural networks and machine learning. Finally, the architecture of web crawlers is to be discussed shedding the light on how internet spiders index web documents and how they allow users to search for items on the web.
Cite
@article{arxiv.1212.2065,
title = {A Survey on Information Retrieval, Text Categorization, and Web Crawling},
author = {Youssef Bassil},
journal= {arXiv preprint arXiv:1212.2065},
year = {2012}
}
Comments
LACSC - Lebanese Association for Computational Sciences, http://www.lacsc.org