Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis John Pavlopoulos and Ion Androutsopoulos Department of Informatics Athens University of Economics and Business Patission 76, GRAthens, Greece h

Source URL: www.aueb.gr

Aspect Based Sentiment Analysis Ioannis Pavlopoulos PhD student Natural Language Processing Group Department of Informatics

Source URL: www.aueb.gr

Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method John Pavlopoulos and Ion Androutsopoulos Dept. of Informatics, Athens University of Economics and B

Source URL: www.aueb.gr

Cuba: What Security Professionals Should Know Significant Events; Crime; Travel Health and Safety; Surveillance; Riots/Civil Unrest; Information Security; Cyber; Counterintelligence; Anti-American sentiment Western Hemis

Source URL: internationaltravel.wisc.edu

1 Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data arXiv:1112.1051v1 [q-fin.ST] 5 Dec 2011

Source URL: arxiv.org

• Economy
• Finance
• Money
• Stock market
• Mathematical finance
• Technical analysis
• Behavioral finance
• Investment
• VIX
• Market sentiment
• Dow Jones Industrial Average
• Market trend

Document-Word Co-Regularization for Semi-supervised Sentiment Analysis Vikas Sindhwani and Prem Melville IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 {vsindhw,pmelvil}@us.ibm.com Abstract

Source URL: www.prem-melville.com

Co-training and Visualizing Sentiment Evolvement for Tweet Events Shenghua Liu Wenjun Zhu, Ning Xu

Source URL: www2013.wwwconference.org

• Software
• Computing
• Natural language processing
• Statistical classification
• Real-time web
• Affective computing
• Sentiment analysis
• Twitter
• Support vector machine

RECRUITER SENTIMENT STUDY 2015 1ST HALF Conducted by MRINetwork MRINetwork.com/RecruiterSentiment

Source URL: www.mrinetwork.com

A linguistic-based approach for determining the topics of Twitter messages

Source URL: www.scit.wlv.ac.uk

• Software
• Digital media
• Computing
• Social media
• Web 2.0
• Microblogging
• Real-time web
• Text messaging
• Twitter
• Sentiment analysis

Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis Hussam Hamdan Aix-Marseille University

Source URL: alt.qcri.org