标题
Like It or Not
作者
关键词
-
出版物
ACM COMPUTING SURVEYS
Volume 49, Issue 2, Pages 1-41
出版商
Association for Computing Machinery (ACM)
发表日期
2016-07-05
DOI
10.1145/2938640
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Contextual semantics for sentiment analysis of Twitter
- (2016) Hassan Saif et al. INFORMATION PROCESSING & MANAGEMENT
- Tweet sentiment analysis with classifier ensembles
- (2014) Nádia F.F. da Silva et al. DECISION SUPPORT SYSTEMS
- TOM: Twitter opinion mining framework using hybrid classification scheme
- (2013) Farhan Hassan Khan et al. DECISION SUPPORT SYSTEMS
- Ontology-based sentiment analysis of twitter posts
- (2013) Efstratios Kontopoulos et al. EXPERT SYSTEMS WITH APPLICATIONS
- Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
- (2013) M. Ghiassi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Sentiment analysis on microblog utilizing appraisal theory
- (2013) Peter Korenek et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- An effective approach to tweets opinion retrieval
- (2013) Zhunchen Luo et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- A multidimensional approach for detecting irony in Twitter
- (2012) Antonio Reyes et al. Language Resources and Evaluation
- Sentiment analysis in Twitter
- (2012) EUGENIO MARTÍNEZ-CÁMARA et al. Natural Language Engineering
- Lexicon-Based Methods for Sentiment Analysis
- (2011) Maite Taboada et al. COMPUTATIONAL LINGUISTICS
- Survey on mining subjective data on the web
- (2011) Mikalai Tsytsarau et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Sentiment strength detection for the social web
- (2011) Mike Thelwall et al. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
- Twitter mood predicts the stock market
- (2011) Johan Bollen et al. Journal of Computational Science
- Sentiment strength detection in short informal text
- (2010) Mike Thelwall et al. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now