Charles Anderson

Work place: Colorado State Univesity, 1100 Center Ave, Fort Collins, CO80521, US



Research Interests: Computer Networks, Neural Networks


Charles Anderson is a professor of computer science at Colorado State University. He is also a faculty member of CSU's School of Biomedical Engineering, Graduate Degree Program in Ecology and the Molecular, Cellular, and Integrative Neurosciences Program. He graduated with a Ph.D. in computer science from the University of Massachusetts, Amherst, in 1986, and worked at GTE Laboratories in Waltham, MA, until he arrived at CSU in 1991. He teaches graduate courses in machine learning and undergraduate courses in programming, data structures, and graphics. His research is in machine learning with a focus on reinforcement learning, EEG pattern recognition, and neural networks.

Author Articles
Word Clustering as a Feature for Arabic Sentiment Classification

By Saud Alotaibi Charles Anderson

DOI:, Pub. Date: 8 Jan. 2017

Rich morphology language, such as Arabic, requires more investigation and methods targeted toward improving the sentiment analysis task. An example of external knowledge that may provide some semantic relationships within the text is the word clustering technique. This article demonstrates the ongoing work that utilizes word clustering when conducting Arabic sentiment analysis. Our proposed method employs supervised sentiment classification by enriching the feature space model with word cluster information. In addition, the experiments and evaluations that were conducted in this study demonstrated that by combining the clustering feature with sentiment analysis for Arabic, this improved the performance of the classifier.

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