In this survey, each worker responded to the following questions:
We applied machine-learning algorithms to extract key insights from these happy moments. The conclusion of this study tells a lot about who we are, what makes us happy and the power of classification algorithms to profile who we are.
What is a ML classification algorithm? Essentially, classification means that the algorithm determines the "right categories of a new observation on the basis of a training dataset containing observations whose category membership is known". Let's look at the following example:
With a precision of 65% to 80%, ML classification algorithms learn from historical training data, and predict who we are, simply by analyzing a couple of sentences we write.
Imagine how such a powerful tool can be used - and misused - by marketing firms, political parties or employers. On a more constructive note, how can you think of an application in our workplace to transform the way we run our business?
Some thought-provoking outcome worth a discussion at the Thanksgiving dinner table tonight, isn't it? What do you think about it? Please share your thoughts and comments.
This analysis is based on the so-called " term frequency" in the entire corpus of words, after removing punctuation and general words.
What do we really mean by personal"achievements"?
In the category "nature", the top keywords are weather, outside, walk, rain andmorning.
This is only the tip of iceberg, there are many more categories and interesting insights. The details of this study are published in a IPython Notebook in the Kaggle data science platform under the Apache 2.0 open source license.Please scroll down to the bottom and look at the other graphs, I am sure that you will have fun deciphering the "human nature" of our society.
Interested in discovering more interesting facts, evidence and data-driven insights to balance our lives? Check the 360 Living Guide: 4.8/5 stars, also available as Paperback and Audiobook.
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