Using Natural Language Processing to analyze frequently discussed sexually-related topics in Polish online forums.

The following work is part of an Omdena Project with #sexedPL and more than 30 other AI Collaborators to explore which sexually-related topics are frequently discussed among young people.

Omdena is an innovation platform for building AI solutions to real-world problems through the power of bottom-up collaboration.

In this project, the goal was to understand better which topics should be covered more broadly in books related to sexual education, media, etc.

For that purpose, we gathered and analyzed data from two online forums dedicated to teenagers.

Introduction

Poland’s current government has recently criticized sexual education and attempted to criminalize its provision…

As part of my internship at Fandom, I tested the effectiveness and impact of ad design elements on the click-through rate (CTR) of banners on the Fandom wiki pages. I performed a series of tests that resulted in some interesting findings.

Introduction

Optimizing the advertising strategy has recently become even more challenging than it used to be. The main reason for this is the overall declining CTR, which is the ratio between clicks and impressions, one of the key metrics in digital advertising. One cause for this observed trend might be the growing importance of the web as a sales channel and the resulting need to advertise online. The amount of unique online advertisements has grown tremendously over the years, severely impacting the user experience on websites¹. Ads became more and more intrusive due to the competition, resulting in a growing amount…

Julia Jakubczak

Creator of Kosmetorium | juliajakubczak.com

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