Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Topic-dependent sentiment analysis of financial blogs
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Mineração de opiniões aplicada à análise de investimentos
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Text-based video content classification for online video-sharing sites
Journal of the American Society for Information Science and Technology
The viability of web-derived polarity lexicons
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Making words work: Using financial text as a predictor of financial events
Decision Support Systems
Manipulation in digital word-of-mouth: A reality check for book reviews
Decision Support Systems
Sentiment classification of Internet restaurant reviews written in Cantonese
Expert Systems with Applications: An International Journal
Towards well-grounded phrase-level polarity analysis
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
A multilabel text classification algorithm for labeling risk factors in SEC form 10-K
ACM Transactions on Management Information Systems (TMIS)
Deriving the Pricing Power of Product Features by Mining Consumer Reviews
Management Science
A review of opinion mining methods for analyzing citizens' contributions in public policy debate
ePart'11 Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation
Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons
Proceedings of the 20th ACM international conference on Information and knowledge management
Feature selection for sentiment analysis based on content and syntax models
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
A large-scale sentiment analysis for Yahoo! answers
Proceedings of the fifth ACM international conference on Web search and data mining
Identifying and following expert investors in stock microblogs
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews
ACM Transactions on Management Information Systems (TMIS)
Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
Comparison of feature-level learning methods for mining online consumer reviews
Expert Systems with Applications: An International Journal
Application of a clustering method on sentiment analysis
Journal of Information Science
The 5w structure for sentiment summarization-visualization-tracking
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Sentiment analysis: what is the end user's requirement?
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Evaluating sentiment in financial news articles
Decision Support Systems
Sentiment detection with auxiliary data
Information Retrieval
CybercrimeIR --- a technological perspective to fight cybercrime
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Credit Rating Change Modeling Using News and Financial Ratios
ACM Transactions on Management Information Systems (TMIS)
Feature selection for sentiment analysis based on content and syntax models
Decision Support Systems
Product Comparison Networks for Competitive Analysis of Online Word-of-Mouth
ACM Transactions on Management Information Systems (TMIS)
RETRACTED: Sentiment Analysis in Decision Sciences Research: An Illustration to IT Governance
Decision Support Systems
Sentiment classification: a combination of PMI, sentiwordnet and fuzzy function
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Social Media and Firm Equity Value
Information Systems Research
Verb Oriented Sentiment Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
An investigation into correlations between financial sentiment and prices in financial markets
Proceedings of the 5th Annual ACM Web Science Conference
Sentiment classification of blog posts using topical extracts
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Analysis of user comments: an approach for software requirements evolution
Proceedings of the 2013 International Conference on Software Engineering
Retrieving and analyzing mobile apps feature requests from online reviews
Proceedings of the 10th Working Conference on Mining Software Repositories
Sentiment analysis of Hollywood movies on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Expert Systems with Applications: An International Journal
Analyzing Social Media for Corporate Reputation Management: How Firms Can Improve Business Agility
International Journal of Business Intelligence Research
The impact of social and conventional media on firm equity value: A sentiment analysis approach
Decision Support Systems
Analyzing Social Media for Corporate Reputation Management: How Firms Can Improve Business Agility
International Journal of Business Intelligence Research
Information Technology and Management
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Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises different classifier algorithms coupled together by a voting scheme. Accuracy levels are similar to widely used Bayes classifiers, but false positives are lower and sentiment accuracy higher. Time series and cross-sectional aggregation of message information improves the quality of the resultant sentiment index, particularly in the presence of slang and ambiguity. Empirical applications evidence a relationship with stock values---tech-sector postings are related to stock index levels, and to volumes and volatility. The algorithms may be used to assess the impact on investor opinion of management announcements, press releases, third-party news, and regulatory changes.