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Your project report should contain the following sections and address the following
points.
• Introduction: What text mining application are you investigating? Why are your
experiments interesting from a text-mining standpoint?
• Project Proposal
• Define the problem area you wish to investigate (pricing, hot topics, customer review,
product information, sports team, financial data,,, etc)
• The experiment must be agile and flexible, but also has to be incremental in order to
catch the changes.
• The purpose of your experiments. What are you testing?
• An explanation of the dataset you will use to conduct your experiments.
• A description of any constraints associated with your proposed plan.
II. Methodology
• I would recommend you to use Web Scraping with Google Chrome Extensions.
• Approaches: What are the steps you going to follow?
• Type of tools you used to extract data. Major issues in data mining, data collection,
describe the data (Data Objects and Attribute Types,,,), Data visualization, Data
preprocessing, Patterns, Associations, Correlations, Clustering ,,,etc.
• Apply as much as needed to organize the data for the final interpretation.
III. Result
• After all, it is all about how you going to handle the raw data you have collected and how valuable you can make it.
• Report your statistical findings.
• Justify your finding and your objective.
• Explain the data and its knowledge.
I. Figures, tables, screenshot, graphs and appropriate format.
II. Attached the collected data (Excel file- two sheets).
• The first sheet includes the original data , and the second one includes the final data (after cleaning / prepressing)
