Performance Evaluation of Sentiment Mining Classifiers on Balanced and Imbalanced Dataset

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Provided by: International Journal of Computer Science and Business Informatics
Topic: Big Data
Format: PDF
The transition from Web 2.0 to Web 3.0 has resulted in creating the dissemination of social communication without limits in space and time. Sentiment analysis has really come into its own in the past couple of years. It's been a part of text mining technology for some time, but with the rise in social media popularity, the amount of unstructured textual data that can be used as a machine learning data source, is enormous. Marketers use this data as an intelligent indicator for customer preferences.
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