On the bursty evolution of blogspace
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The Journal of Machine Learning Research
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Opinion observer: analyzing and comparing opinions on the Web
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ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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Proceedings of the 14th ACM international conference on Information and knowledge management
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
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
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Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Utility scoring of product reviews
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the 18th international conference on World wide web
Extracting Domain-Dependent Semantic Orientations of Latent Variables for Sentiment Classification
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Supporting analysis of future-related information in news archives and the web
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Chinese Blog Clustering by Hidden Sentiment Factors
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
A quality-aware model for sales prediction using reviews
Proceedings of the 19th international conference on World wide web
S-PLASA+: adaptive sentiment analysis with application to sales performance prediction
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Sentiment learning on product reviews via sentiment ontology tree
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Efficient statement identification for automatic market forecasting
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Extraction, characterization and utility of prototypical communication groups in the blogosphere
ACM Transactions on Information Systems (TOIS)
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Towards detecting influenza epidemics by analyzing Twitter messages
Proceedings of the First Workshop on Social Media Analytics
Integrating web feed opinions into a corporate data warehouse
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Analyzing text data for opinion mining
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
A review of opinion mining methods for analyzing citizens' contributions in public policy debate
ePart'11 Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
ChronoSeeker: search engine for future and past events
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews
ACM Transactions on Management Information Systems (TMIS)
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Sentiment analysis for effective detection of cyber bullying
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Blog mining-review and extensions: "From each according to his opinion"
Decision Support Systems
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ACM Transactions on Management Information Systems (TMIS)
Ontology-based sentiment analysis of twitter posts
Expert Systems with Applications: An International Journal
More than words: Social networks' text mining for consumer brand sentiments
Expert Systems with Applications: An International Journal
Generating contextualized sentiment lexica based on latent topics and user ratings
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Storing and analysing voice of the market data in the corporate data warehouse
Information Systems Frontiers
The impact of social and conventional media on firm equity value: A sentiment analysis approach
Decision Support Systems
Box office prediction based on microblog
Expert Systems with Applications: An International Journal
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Due to its high popularity, Weblogs (or blogs in short) present a wealth of information that can be very helpful in assessing the general public's sentiments and opinions. In this paper, we study the problem of mining sentiment information from blogs and investigate ways to use such information for predicting product sales performance. Based on an analysis of the complex nature of sentiments, we propose Sentiment PLSA (S-PLSA), in which a blog entry is viewed as a document generated by a number of hidden sentiment factors. Training an S-PLSA model on the blog data enables us to obtain a succinct summary of the sentiment information embedded in the blogs. We then present ARSA, an autoregressive sentiment-aware model, to utilize the sentiment information captured by S-PLSA for predicting product sales performance. Extensive experiments were conducted on a movie data set. We compare ARSA with alternative models that do not take into account the sentiment information, as well as a model with a different feature selection method. Experiments confirm the effectiveness and superiority of the proposed approach.