Newly Developed Algorithm

An LSTM Sentiment Analysis Program

Building Artificial Intelligence Algorithms

Hey everyone!

So recently, I developed my latest simple algorithm: an LSTM/RNN that could determine sentiment 🎉 🎊 🥳!!

If you don’t understand what I’m talking about, be sure to read this article:

Making AI a True Companion

In here, I explain all sorts of things, including how you can make one yourself (or at least, what you’ll need to know to do so). Here’s my algorithm at work:

Pretty, cool, right? So you’re probably wondering what the use of this thing is.

What my algorithm does

The algorithm uses NLP, LSTM, RNN to:

• Give a numerical sentiment score based of off writing
• Recommendation building (upcoming feature)
• Emotional correlation and opinion mining thought breakdown (upcoming feature)
• Translate in all languages [unique feature]
• Determine sentiment from any combination of text and emoji or separately [unique feature]
• Uses LSTM structure to also make more accurate conclusions from previous data and understand sentence structures [unique feature]

Well, once I build it into a better form factor, it should present a variety of applications. I once worked on a project called Oizys, in which we developed an app platform that could combat depression using GANs to create virtual human engagement 🤯… It used facial recognition to determine the individual’s mental state. Though the project is over now, I’ve learned of the many uses of analyzing sentiment through my experience developing.

1. Review Scoring and Analytical Platform