@inproceedings{72b4086a4b95467698566f7fce6eaaa7,
title = "A hybrid method of sentiment key sentence identification using lexical semantics and syntactic dependencies",
abstract = "Many news articles in the Internet portal, blog and forums always have their own emotional orientations. Considering sentiment key sentence plays an important role in supervising social trends and public sentiment state, there has been a significant progress in this area recently, especially the lexicon-based method. However, the lexicon-based method totally dependents on lexical semantics and does not excavate the implied syntactic structure. We propose a new method which integrates lexical semantics and syntactic dependencies. And the method performs dependency parsing on the basis of a novel lexicon-based algorithm. Experimental results on COAE 2014 dataset show that this approach notablely outperforms other baselines of sentiment key sentence identification.",
keywords = "LDA, PMI, SVM, TextRank, lexical semantics, sentiment key sentence, syntactic dependencies",
author = "Chong Feng and Chun Liao and Zhirun Liu and Heyan Huang",
year = "2014",
doi = "10.1007/978-3-319-11119-3_2",
language = "English",
isbn = "9783319111186",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "11--22",
booktitle = "Web Technologies and Applications - APWeb 2014 Workshops, SNA, NIS, and IoTS, Proceedings",
address = "Germany",
note = "APWeb 2014 Workshops: 1st International Workshop on Social Network Analysis, SNA 2014, 1st International Workshop on Network and Information Security, NIS 2014 and 1st International Workshop on Internet of Things Search, IOTS 2014 ; Conference date: 05-09-2014 Through 05-09-2014",
}
