Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
ICA and SOM in text document analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Wordica: Emergence of linguistic representations for words by independent component analysis
Natural Language Engineering
Sentiment in short strength detection informal text
Journal of the American Society for Information Science and Technology
Hi-index | 0.00 |
In this article, we explore an application in an area of research called wellbeing informatics. More specifically, we consider how to build a system that could be used for searching stories that relate to the interest of the user (content relevance), and help the user in his or her developmental process by providing encouragement, useful experiences, or otherwise supportive content (emotive relevance). The first objective is covered through topic modeling applying independent component analysis and the second by using sentiment analysis. We also use style analysis to exclude stories that are inappropriate in style. We discuss linguistic theories and methodological aspects of this area, outline a hybrid methodology that can be used in selecting stories that match both the content and emotive criteria, and present the results of experiments that have been used to validate the approach.