Incorporating critique and argumentation in DSS
Decision Support Systems
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
A personalized and integrative comparison-shopping engine and its applications
Decision Support Systems - Special issue: Agents and e-commerce business models
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Fast Text Classification: A Training-Corpus Pruning Based Approach
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Support Vector Machine for Regression and Applications to Financial Forecasting
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Fast and Exact Out-of-Core K-Means Clustering
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
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
Visualising Sentiments in Financial Texts?
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
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
Relationship Algebra for Computing in Social Networks and Social Network Based Applications
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Large Scale Classification with Support Vector Machine Algorithms
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
An empirical study of sentiment analysis for chinese documents
Expert Systems with Applications: An International Journal
Automatic online news monitoring and classification for syndromic surveillance
Decision Support Systems
Making words work: Using financial text as a predictor of financial events
Decision Support Systems
Multimedia data mining: state of the art and challenges
Multimedia Tools and Applications
ForAVis: explorative user forum analysis
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews
ACM Transactions on Management Information Systems (TMIS)
Internet public opinion hotspot detection research based on k-means algorithm
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Evaluating sentiment in financial news articles
Decision Support Systems
Expert Systems with Applications: An International Journal
Vehicle defect discovery from social media
Decision Support Systems
Failure prediction based on log files using Random Indexing and Support Vector Machines
Journal of Systems and Software
Product Comparison Networks for Competitive Analysis of Online Word-of-Mouth
ACM Transactions on Management Information Systems (TMIS)
Clustering a very large number of textual unstructured customers' reviews in english
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
RETRACTED: Sentiment Analysis in Decision Sciences Research: An Illustration to IT Governance
Decision Support Systems
More than words: Social networks' text mining for consumer brand sentiments
Expert Systems with Applications: An International Journal
Predicting students' final performance from participation in on-line discussion forums
Computers & Education
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings
Decision Support Systems
The impact of social and conventional media on firm equity value: A sentiment analysis approach
Decision Support Systems
Information Technology and Management
Research on hotspot discovery in internet public opinions based on improved K-means
Computational Intelligence and Neuroscience
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Text sentiment analysis, also referred to as emotional polarity computation, has become a flourishing frontier in the text mining community. This paper studies online forums hotspot detection and forecast using sentiment analysis and text mining approaches. First, we create an algorithm to automatically analyze the emotional polarity of a text and to obtain a value for each piece of text. Second, this algorithm is combined with K-means clustering and support vector machine (SVM) to develop unsupervised text mining approach. We use the proposed text mining approach to group the forums into various clusters, with the center of each representing a hotspot forum within the current time span. The data sets used in our empirical studies are acquired and formatted from Sina sports forums, which spans a range of 31 different topic forums and 220,053 posts. Experimental results demonstrate that SVM forecasting achieves highly consistent results with K-means clustering. The top 10 hotspot forums listed by SVM forecasting resembles 80% of K-means clustering results. Both SVM and K-means achieve the same results for the top 4 hotspot forums of the year.