Machine Learning
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Identifying opinion leaders in the blogosphere
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
Survey on mining subjective data on the web
Data Mining and Knowledge Discovery
Detecting opinion leader dynamically in chinese news comments
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
An improved mix framework for opinion leader identification in online learning communities
Knowledge-Based Systems
A social-aware multimedia system for interactive cultural and educational experiences
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Expert Systems with Applications: An International Journal
Simulating the spread of opinions in online social networks when targeting opinion leaders
Information Systems and e-Business Management
Discovering content-based behavioral roles in social networks
Decision Support Systems
| Hi-index | 0.00 |
Today, online social networks in the World Wide Web become increasingly interactive and networked. Web 2.0 technologies provide a multitude of platforms, such as blogs, wikis, and forums where for example consumers can disseminate data about products and manufacturers. This data provides an abundance of information on personal experiences and opinions which are extremely relevant for companies and sales organizations. A new approach based on text mining and social network analysis is presented which allows detecting opinion leaders and opinion trends. This allows getting a better understanding of the opinion formation. The overall concept is presented and illustrated by an example.