Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Modern Information Retrieval
The Journal of Machine Learning Research
Ranking Function Optimization for Effective Web Search by Genetic Programming: An Empirical Study
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Determining the semantic orientation of terms through gloss classification
Proceedings of the 14th ACM international conference on Information and knowledge management
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Ranking opinionated blog posts using OpinionFinder
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
An effective statistical approach to blog post opinion retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Proceedings of the 17th ACM conference on Information and knowledge management
Sentiment retrieval using generative models
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Domain Specific Opinion Retrieval
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Hi-index | 0.00 |
As a novel information retrieval task, opinion retrieval has attracted considerable amount of attention in recent years. Current researches mainly first computed the topic relevant and opinion relevant scores of the documents and then combined these two scores as the final ranking score using some combination function. One major problem in existing works is that the score combination functions are defined in advance regardless of domains. However, there is no evidence that these two scores should be combined in a unique way. In this paper, we propose to learn the combination functions automatically for retrieval tasks of different domains. We employ the popular Genetic Programming framework for the learning tasks. To perform the whole opinion retrieval task, we also design a novel opinion retrieval system to compute the topic and opinion relevant scores and then learn the optimal combination function to integrate the topic and opinion relevant scores. In the experiments, we compare our system with other state-of-the-art work on a public dataset and the experimental results show that our system performs comparatively with others.