Inspiration: Learning new things

What it does: Part 1 (AaronMathewsSimilarity.py) finds similar news articles for each mystery article. Part 2(food review classifier) finds keywords for a given food review from the Amazon Fine Foods dataset.

How we built it: We experimented with different distance functions to calculate similarity between an object and a number of other objects. We then grouped similar objects.

Challenges we ran into: General Debugging, trying to find the best distance function

Accomplishments that we're proud of: Building something

What we learned: K-Nearest Neighbors, API's, Various Distance Functions in Scipy, Basics of dealing with JSON and CSV files

What's next for Clever Classification: Using more sophisticated classification techniques

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posted an update

Our Guesses:

1- Finances. This article is likely discussing money, the market, and stocks.

2- Financial issues. This article probably deals with some sort of recession. This could be the great recession or the current recession.

3- Diseases. This article is likely discussing the Covid pandemic. This article is likely discussing covid, the vaccine, and the consequences of covid.

4- Political Unrest, War. This article probably deals with some sort of war, possibly something in Africa.

5- Natural Disasters, Climate Change. This article probably deals with climate change and natural disasters associated with it. This article may be discussing forest fires.

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posted an update

Our Guesses: 1- Travel. This article probably deals with travelling to certain locations on vacation. 2- Financial issues. This article probably deals with some sort of recession. This could be the great recession or the current recession. 3- Diseases, Flu. This article probably deals with a deadly disease and vaccinations that prevent them. This could be discussing the Covid pandemic. 4- Political Unrest, War. This article probably deals with some sort of war, possibly the Russia-Ukraine conflict. 5- Natural Disasters, Climate Change. This article probably deals with climate change and natural disasters associated with it.

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