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Home arrow Computer Science arrow Applied Big Data Analytics in Operations Management
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ADDITIONAL READING

Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems, 28(2), 15-21. doi:10.1109/ MIS.2013.30

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. Management Information Systems Quarterly, 36(4), 1165-1188.

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. Management Information Systems Quarterly, 36(4), 1165-1188.

Cunha, J., Silva, C., & Antunes, M. (2015). Health Twitter Big Bata Management with Hadoop Framework. Procedia Computer Science, 64, 425-431. doi:10.1016/j. procs.2015.08.536

Lohr, S. (2012). The age of big data. New York Times, 11.

KEY TERMS AND DEFINITIONS

Machine-Learning: It is a field of computer science that deals with the learning theory in artificial intelligence and construction of algorithms for making predictions on data.

Natural Language Processing: It is a field of computer science that deals with the interaction between human language and computer.

Operation Management: It deals with the process of production and business operations.

Opinion Mining: It is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions of different entities.

Sentiment Classification: It is the technique of classifying the polarity with supervised learning. Example-Naive Bayes classification algorithm, Support Vector Machines etc.

Subjectivity Analysis: It is the technique of classifying the sentence into subjective and objective sentences.

 
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