This repository includes research, ideas, development, technical solutions and reflections on the prevalent discourse on how AI will impact the workplace and, specifically, the relationship between humans and work.
I embarked on a project to delve deeper into the public's opinion and sentiments towards AI as it becomes a mainstream concept and a growing concern to everyone. To achieve this, I conducted sentiment and emotion analysis on a collection of web-scraped websites obtained through search queries like "How are people feeling about AI in the workplace?" or "How are people feeling about AI taking over their jobs?". After processing and cleaning the data, I extracted the general sentiment prevalent across the content.
This data then takes shape within a physical structure where the most prevalent words are imprinted in chocolates, and where people can not only interact with the data, but also input their own opinions.
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1. Design and Process Documentation: this folder contains my project documentation in PDF format. Please notice that I have embedded links within the documentation. GitHub doesn't understand the hyperlinks in the Interactive PDF, therefore you will need to download the file to be able to open the links.
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2. Data Analysis Code: this folder contains all the code I generated during the data processing stage. I have used Jupyter notebook, and some of them might be too large to be displayed on GitHub. Similar to the project documentation, the files will be better accessed if they are downloaded.
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3. Physical Output Code this folder contains the code I have generated to control the physical output of the project. This code is mainly establishing communication between Python, Arduino, and Twitter.
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Resources: ProjectResources.txt contains relevant links that were part of my research, some of them were explored but not used in the final output.
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Formative assignment: I have included my formative assignment because my project idea changed during the development stage. This has been recorded within the project documentation file.