@inproceedings{c3171d85a0184ba694c895ab59a3646f,
title = "Analyzing Twitter Data with Preferences",
abstract = "Today Twitter is one of the most important sources for information distribution. But finding useful and interesting tweets on a specific topic is a non-trivial task, because there are thousands of new posts every minute. In this paper, we describe our preference-based search approach on Twitter messages, which allows users to get the best possible results. For this, we introduce a new CONTAINS preference constructor to search on full-text data, use NLP techniques to handle natural language mistakes, and present experiments.",
keywords = "NLP, Preferences, Twitter",
author = "Lena Rudenko and Christian Haas and Markus Endres",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020 ; Conference date: 25-08-2020 Through 27-08-2020",
year = "2020",
doi = "10.1007/978-3-030-54623-6_16",
language = "English (US)",
isbn = "9783030546229",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "177--188",
editor = "J{\'e}r{\^o}me Darmont and Boris Novikov and Robert Wrembel",
booktitle = "New Trends in Databases and Information Systems, ADBIS 2020 Short Papers, Proceedings",
}