Automatic generation of personalized annotation tags for Twitter users
W. Wu, B. Zhang, and M. Ostendorf. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, page 689--692. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
Abstract
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable to the precision of keyword extraction from web pages for content-targeted advertising.
Description
Automatic generation of personalized annotation tags for Twitter users
%0 Conference Paper
%1 wu2010automatic
%A Wu, Wei
%A Zhang, Bin
%A Ostendorf, Mari
%B Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
%C Stroudsburg, PA, USA
%D 2010
%I Association for Computational Linguistics
%K annotation generation recommendation twitter tagging
%P 689--692
%T Automatic generation of personalized annotation tags for Twitter users
%U http://dl.acm.org/citation.cfm?id=1857999.1858100
%X This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable to the precision of keyword extraction from web pages for content-targeted advertising.
%@ 1-932432-65-5
@inproceedings{wu2010automatic,
abstract = {This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and TextRank to extract keywords from Twitter messages to tag the user. The user tagging precision we obtained is comparable to the precision of keyword extraction from web pages for content-targeted advertising.},
acmid = {1858100},
added-at = {2013-02-15T13:16:21.000+0100},
address = {Stroudsburg, PA, USA},
author = {Wu, Wei and Zhang, Bin and Ostendorf, Mari},
biburl = {https://www.bibsonomy.org/bibtex/2021fa2a4d9b50141d8a1a13a7f06ead5/thoni},
booktitle = {Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
description = {Automatic generation of personalized annotation tags for Twitter users},
interhash = {ab293a59c57c0cf5f903f25d314e87e1},
intrahash = {021fa2a4d9b50141d8a1a13a7f06ead5},
isbn = {1-932432-65-5},
keywords = {annotation generation recommendation twitter tagging},
location = {Los Angeles, California},
numpages = {4},
pages = {689--692},
publisher = {Association for Computational Linguistics},
series = {HLT '10},
timestamp = {2016-09-06T08:23:07.000+0200},
title = {Automatic generation of personalized annotation tags for Twitter users},
url = {http://dl.acm.org/citation.cfm?id=1857999.1858100},
year = 2010
}