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Text I - the short story like the Chicken soup for the soul (Pic I)

Text II - the news article about election( I didn’t put the data related to the election on the category) (Pic II)

Text III - the latest news article about the accident ( Pic III)

As I expected before, getting documents for training moral and training immoral was the hardest part in this project. I had been kept thinking about whether which site and which article is moral or not. And then, I decided to focus on moral article first. So, I collected almost 1-year quotes and good articles for sound mind and philosophy articles about morality and ethnics. (they had been researched issues and definitions of the a lot of domains such as bio-tech, business, and technology. But, I narrowed down for basic issues and concepts.) And, I chose the articles related on immorality which anybody can know obviously. The result have weird part but, I think, this could be starting point. PMoralRate is Here

Picture - Depending on the moralFiltering, data shows how the article close to morality. the closer to yellow, green text, and big size of text, the closer to morality.

* It has problems in that categories are not perfect. But, I think, if the documents and the data is filed up more in the categories, it will has a fine sieve.

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——-I want to make my thought clearer…..——-

This project is not for just testing which word is a moral or which word is a immoral. It could be non-sense data visualization.(now, actually there is no-sense word inside of the visualization like ’suicide’, ’september’.)But, It is kind of groundwork based on subjectivity for the future.

There are differences between male and female, east and west, and children and adult. However, the world is not simple like this black and white logic. Everything is always in-between extreme two parts. My interest on this project is actually come from this “differences”. we don’t know who we are, either. So, through this rough data, people can put or move the individual data and point with some another informations such as age, nationality..etc.. like on the web poll site. Also, people can put another word that they are interested in. And then, depending on ages(generations), countries, and something like that, the differences will be revealed as an real data. I think, this kind of data, if we know about attributes of each part, can be used for marketing or a lot of fields.

I might be missing something on this. That’s why I felt lack of something today in the a2z class. because of language barrier, communication didn’t work well. Anyhow, I enjoyed whole process of the midterm project. That’s what I have gotten perfectly.

posted by srw284 at 1:32 pm & filed under Programming a2z |