Other formats:
BibTeX
LaTeX
RIS
@inproceedings{1729500,
author = {Suchomel, Vít},
address = {Brno},
booktitle = {Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020},
editor = {Aleš Horák},
keywords = {web corpora; web spam; supervised learning},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1600-8},
pages = {113-123},
publisher = {Tribun 2020},
title = {Removing Spam from Web Corpora Through Supervised Learning and Semi-manual Classification of Web Sites},
url = {https://raslan2020.nlp-consulting.net/},
year = {2020}
}
TY - JOUR
ID - 1729500
AU - Suchomel, Vít
PY - 2020
TI - Removing Spam from Web Corpora Through Supervised Learning and Semi-manual Classification of Web Sites
PB - Tribun 2020
CY - Brno
SN - 9788026316008
KW - web corpora
KW - web spam
KW - supervised learning
UR - https://raslan2020.nlp-consulting.net/
N2 - Internet spam is a major issue hindering the usefulness of web corpora. Unlike traditional text corpora collected from trustworthy sources, the content of web based corpora has to be cleaned. In this paper, two experiments of non-text removal based on supervised learning are presented. First, an improvement of corpus based language analyses of selected words achieved by a supervised classifier is shown on an English web corpus. Then, a semi-manual approach of obtaining samples of non-text web pages in Estonian is introduced. This strategy makes the supervised learning process more efficient. The result spam classifiers are tuned for high recall at the cost of precision to remove as much non-text as possible. The evaluation shows the classifiers reached the recall of 71 % and 97 % for English and Estonian web corpus, respectively. A technique for avoiding spammed web sites by measuring the distance of web pages from trustworthy sites is studied too.
ER -
SUCHOMEL, Vít. Removing Spam from Web Corpora Through Supervised Learning and Semi-manual Classification of Web Sites. In Aleš Horák. \textit{Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020}. Brno: Tribun 2020, 2020, p.~113-123. ISBN~978-80-263-1600-8.
|
