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Textual Analysis of the data for sentiment analysis.
Choose from the datasets I
Textual Analysis of the data for sentiment analysis.
Choose from the datasets I provide, apply any of the data analytic techniques (I provided some code for reference) that you feel fit to the data and write a short data analytic report with what you find in the analysis. Please illustrate the wisdom you learned from the data by providing evidence in the form of tables and figures.
datasets and reference: https://drive.google.com/drive/folders/1n9BrgaGvNJH6nKoZN5-anS3ttGaSsYmx?usp=drive_link
Please submit the final report (with tables and figures), and code (Rmarkdown and knit to HTML format).
A reasonable length of a good report should be about 2-4 pages. In terms of format, please use “Times New Roman” for font style, single-space line, with a font size of 12. Please do not forget to add the page number to the report.
The structure should be:
1. Title: a short title of the project
2. Research Question: describe the initial question that interests you and the new questions you find during the process of analysis.
3. Methodology: shortly describe the pre-processing procedure you perform on the data and the methodology you choose for the analysis (in terms of the more describe methods of various visualization, you may omit the method part).
4. Validation test: briefly describe the (potential) validation tests you want to choose. You may also do some validations as you like.
5. Results: present your analytic results using figures and tables, for each figure and table you attached, you should also provide an interpretation on it.
6. Importance or Contributions: why this project is important to industry or academic?
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