@inproceedings{83c1ab9a4eb84dcabed28547f407ae29,
title = "Automatic construction and ranking of topical keyphrases on collections of short documents",
abstract = "We introduce a framework for topical keyphrase generation and ranking, based on the output of a topic model run on a collection of short documents. By shifting from the unigramcentric traditional methods of keyphrase extraction and ranking to a phrase-centric approach, we are able to directly compare and rank phrases of different lengths. Our method defines a function to rank topical keyphrases so that more highly ranked keyphrases are considered to be more representative phrases for that topic. We study the performance of our framework on multiple real world document collections, and also show that it is more scalable than comparable phrase-generating models.",
author = "Marina Danilevsky and Chi Wang and Nihit Desai and Xiang Ren and Jingyi Guo and Jiawei Han",
note = "Publisher Copyright: Copyright {\textcopyright} SIAM.; 14th SIAM International Conference on Data Mining, SDM 2014 ; Conference date: 24-04-2014 Through 26-04-2014",
year = "2014",
doi = "10.1137/1.9781611973440.46",
language = "English (US)",
series = "SIAM International Conference on Data Mining 2014, SDM 2014",
publisher = "Society for Industrial and Applied Mathematics Publications",
pages = "398--406",
editor = "Zaki, {Mohammed J.} and Arindam Banerjee and Srinivasan Parthasarathy and Pang Ning-Tan and Zoran Obradovic and Chandrika Kamath",
booktitle = "SIAM International Conference on Data Mining 2014, SDM 2014",
address = "United States",
}