Citius: a naive-Bayes strategy for sentiment analysis on English tweets

From Brede Wiki
Jump to: navigation, search
Conference paper (help)
Citius: a naive-Bayes strategy for sentiment analysis on English tweets
Authors: Pablo Gamallo, Marcos Garcia
Citation: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  : 171–175. 2014
Editors:
Publisher: Define publisher
Meeting: 8th International Workshop on Semantic Evaluation
Database(s):
DOI: Define doi.
Link(s): http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval2014026.pdf
Search
Web: DuckDuckGo Bing Google Yahoo!Google PDF
Article: Google Scholar PubMed
Restricted: DTU Digital Library
Services
Format: BibTeX

Citius: a naive-Bayes strategy for sentiment analysis on English tweets describes a system for sentiment analysis on Twitter messages. The system is evaluated on SemEval data. It uses a naïve Bayes classifier together with multiple word lists: AFINN, LabMT, Hu and Liu list, SentiWordNet.

Personal tools