Developer API opinion Mining Repository. This repository is structured as below,
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Analysis: Contains all analysis files for data exploration, pattern mining, visual data analysis, and data transformations.
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backup: Backup files for intermediate results.
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Datasets: Datasets used in the practical study.
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images: Contains images of data visualizations for this practical study.
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ModelDump: Machine Learning Model dump of the trained model in pickel format.
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Presentation: Contains presentations made during practical study.
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PythonNotebooks: Contains Python Notebooks for data collection, explorative data analysis, visual data analysis, data wrangling, model training, and exposing model as restful interface.
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ShinyApp: Webapp built for proving self-service UI for mining developer opinion.
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TransformedDatasets: Contained intermediate cached datasets for saving data transformation computing time.
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TwitterWPFClient: Twitter wpf client for ingesting data from twitter.