Affective computing
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Dynamic Conversion Behavior at E-Commerce Sites
Management Science
Topic sentiment mixture: modeling facets and opinions in weblogs
Proceedings of the 16th international conference on World Wide Web
What should blog search look like?
Proceedings of the 2008 ACM workshop on Search in social media
Language model mixtures for contextual ad placement in personal blogs
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
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Blogs are becoming increasing presences in consumers' habits and many of them base their opinions on information found online. As a result, companies need to include them in their branding and marketing research efforts. But out of the millions of weblogs on the Internet which should be used and which not? And should companies start to use their own (corporate) blogs as part of online marketing strategies? In this paper we report a survey aimed at findings which are the assets of a successful blog, using consumers' perspective and we present an empirical blog success model based on them.