Easy text classification

Posted to Statistics  |  Tags: ,  |  Nathan Yau

Text can be a great source of data, but it can be a challenge to glean information from an analysis standpoint. etcML can help you with that. Browse Twitter trends, classify your own text with existing machine learning classifiers, or upload your own training data.

But most importantly, you can use etcML to learn interesting new things about whatever text data you’re already working with in your job or research. Say you’re a social scientist with written and multiple-choice survey responses — you can quickly see how well participants’ written text allows you to guess their multiple-choice response. Or say you’re a literary scholar who wants to know what distinguishes an author’s early and late periods — you can train a classifier and visualize the most predictive words for each category.

Saved for later.


Where Bars Outnumber Grocery Stores

A closer look at the age old question of where there are more bars than grocery stores, and vice versa.

Divorce Rates for Different Groups

We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.