Language models for financial news recommendation
Proceedings of the ninth international conference on Information and knowledge management
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
ARSA: a sentiment-aware model for predicting sales performance using blogs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combining Local and Global Resources for Constructing an Error-Minimized Opinion Word Dictionary
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
From once upon a time to happily ever after: Tracking emotions in mail and books
Decision Support Systems
Vehicle defect discovery from social media
Decision Support Systems
More than words: Social networks' text mining for consumer brand sentiments
Expert Systems with Applications: An International Journal
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings
Decision Support Systems
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Blogs provide a type of website that contains information and personal opinions of the individual authors. The purpose of this paper is to review some of the literature aimed at gathering opinion, sentiment and information from blogs. This paper also extends the previous literature in a number of directions, extending the use of knowledge from tags on blogs, finding the need for domain specific terms to capture a richer understanding of mood of a blog and finding a relationship between information in message boards and blogs. The relationship between blog chatter and sales, and blogs and public image are also examined.