Member-only story

Analyzing Social Media Sentiment with Python and Tweepy: Why Your Tweets Say More Than Your Therapist

Zahit Erdem Güzel
4 min readDec 1, 2024

--

Analyzing Social Media Sentiment with Python and Tweepy: Why Your Tweets Say More than Your Therapist

Ah, Twitter, where the takes are hotter, the fights are fiercer, and the memes are fresher than your grandma’s apple pie. But lying beneath all that drama and emojis is a veritable treasure trove of data just waiting to be analyzed. And you know what? With Python and Tweepy, you can delve deep into that gold mine of data, find out trends, and even determine whether the internet loves pineapple pizza this week.

We are entering into the world of social media sentiment analysis with Python. Like reading the diary of the internet, but way cooler and a lot less invasive, I promise. So let’s begin, shall we?

Step 1: Setting the Scene (aka Install Everything)

First things first: you’ll need Python installed. If you’re not sure whether you have it, open your terminal and type:

Image

See a version number? Great! If not, please join us in the year 2024 and install Python.

Now, install the Tweepy library:

--

--

Zahit Erdem Güzel
Zahit Erdem Güzel

Written by Zahit Erdem Güzel

Only interesting stuff... wait for 16.12.2024!

No responses yet