Bake, Craft, Code, Life
As a female in tech, I am no stranger to sexist remarks. I’ve been on the receiving end of this since my teenage years. It’s almost a rite of passage for girls out there even in 2023. In my professional career, I have a whole collection of stories I could share. Aside from my career…
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IMPORTANT NOTE: Using syntax alone is NOT by any means a recommendable way to determine “feelings”. This is just intended as a fun exercise. It is not uncommon, at least, it hasn’t been uncommon in my years in data science that a stakeholder will come to you with the most impossible, unrealistic data need |…
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Often we will be dealing with text; short or long, and often we only want to find out the important keywords of said text. As with most things, there are several algorithms out there that you could use for this. A common one that you’ve likely even used before is TF-IDF, but there are others…
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NOTE: THIS WAS DONE USING PYTHON 2.7. PLEASE, REFER TO UPDATED POST HERE. A lot of times we need to dig through hundreds of lines of text. Maybe we are digging through research journals or we need to go through large amounts of text. A great technique to speed up this process is by using…
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Instead of a lengthy tutorial, I hope this post serves as a quick reference for those who work with text data on almost a daily basis. Come back to this post for updates as I will be posting them here as I develop them! Strip Accents: On many occasions, I have had to work with…
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I’ve been meaning to dig into this data set for a while. There’s just so many text analytics we can learn from it and just learn how we can be better as a society when we read fake news. This data set came from Kaggle.com so if you will follow along go ahead and download…
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This is the second part of this text mining series. For part I click here. In this post, we’ll go over unstructured approaches to look at our text data. A good way to learn about what’s inside our text data is to find topics or themes. In this example we will use a Latent Dirichlet…
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Things Grow 