Analyzing images using the Twitter API v2 and AWS

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SaaSHub helps you find the best software and product alternatives
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  1. Tweepy

    Twitter for Python!

    In order to use the Twitter API v2, you need to apply for a Twitter developer account. Once you have an approved Twitter developer account, follow the instruction here to obtain your BEARER TOKEN that you will use to connect to the Twitter API v2 in you code in Python. We will be using the Tweepy package in Python to get images from the Twitter API v2, so you will need to have Python as well as the Tweepy package installed on your machine. Instructions on installing the Tweepy package can be found in this tutorial.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

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  3. twitter-api-typescript-sdk

    A TypeScript SDK for the Twitter API

    The Twitter API v2 lets you get Tweets with images programmatically. Many times, researchers want to study these images to better understand the conversation on a topic. An example use-case of researchers analyzing images is user's studying memes on Twitter. For this, they may want to identify objects in the image or extract text from these images (memes). In this tutorial (meant for academic researchers), I will showcase how you can study images in Twitter, using the Twitter API v2 and Amazon Rekognition.

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