Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.
Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Conference Paper
%1 conf/misdoom/LuberWSSKK21
%A Luber, Mattias
%A Weisser, Christoph
%A Säfken, Benjamin
%A Silbersdorff, Alexander
%A Kneib, Thomas
%A Kis-Katos, Krisztina
%B MISDOOM
%D 2021
%E Bright, Jonathan
%E Giachanou, Anastasia
%E Spaiser, Viktoria
%E Spezzano, Francesca
%E George, Anna
%E Pavliuc, Alexandra
%I Springer
%K dblp
%P 33-49
%T Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.
%U http://dblp.uni-trier.de/db/conf/misdoom/misdoom2021.html#LuberWSSKK21
%V 12887
%@ 978-3-030-87031-7
@inproceedings{conf/misdoom/LuberWSSKK21,
added-at = {2021-10-05T00:00:00.000+0200},
author = {Luber, Mattias and Weisser, Christoph and Säfken, Benjamin and Silbersdorff, Alexander and Kneib, Thomas and Kis-Katos, Krisztina},
biburl = {https://www.bibsonomy.org/bibtex/2de0f0eef73ce7ceb0140015a3fb1a577/dblp},
booktitle = {MISDOOM},
crossref = {conf/misdoom/2021},
editor = {Bright, Jonathan and Giachanou, Anastasia and Spaiser, Viktoria and Spezzano, Francesca and George, Anna and Pavliuc, Alexandra},
ee = {https://doi.org/10.1007/978-3-030-87031-7_3},
interhash = {cfc4ddbae97876b5a48e492255825ddf},
intrahash = {de0f0eef73ce7ceb0140015a3fb1a577},
isbn = {978-3-030-87031-7},
keywords = {dblp},
pages = {33-49},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T21:44:24.000+0200},
title = {Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.},
url = {http://dblp.uni-trier.de/db/conf/misdoom/misdoom2021.html#LuberWSSKK21},
volume = 12887,
year = 2021
}