Thread by @mdancho84

This technique helped me grow my company’s revenue from $900K to $2M in 2022 (during a “recession”)

Yet 90% of companies don’t know how to use it.

Here’s everything you need to know about text analysis. 🧵

#rstats #stats #datascience #nlp

Text is a treasure trove of information.

Seriously… a gold mine. $$$

But it’s not as easy to work with as other types of data like numerical.

Most data scientists just convert text to categorical…

Or even worse, simply don’t use text.

Why is text not being used?

Text requires special techniques like:

1. Tokenization
2. N-grams
3. Stop word removal
4. Stripping characters
5. Counting characters

And formatting text can be tough work.

But a lot of data scientists make 1 big mistake…

What is the Number 1 mistake that most data scientists make when trying to use text?

They go for unstructured text.

PDFs, freeform text fields, customer feedback…

And they miss a goldmine that’s right there waiting for them.

It’s called semi-structured text.

These are text fields that are already in a SQL database.

Things like product descriptions. Or email titles.

And we can use this information to improve model performance.

Now you're probably thinking, great idea! But how?

How 'bout I show you…

I'd like to help you learn Text Analysis for free.

I put together a FREE workshop where I'll uncover how I do text analysis.

Here's what you learn:

1. How to work with text data

Learn how to tokenize structured and unstructured text so you can make it useful for solving business problems

2. My simple technique for automating text data mining

It's 1/10th of the code versus how the way I'm seeing others do it

3. The stupid easy way to improve your model performance with text data

Get the insider's secret to model performance increase + make your company more profitable

4. Get ideas for your future job portfolio

Expand your data science tool chest with Text Analysis

And increase your value to your company.

What's Your Next Step?

My Text Analysis Workshop is completely free.

All you need to do is register & show up.

Register Here: bit.ly/text-analysis-2