In this post we will show you how to scrape reviews from an amazon product page. This data can be used to create datasets for sentiment analysis or other educational or research purposes. If you sell products on Amazon it can even be useful to analyse the reviews to understand what customers like and dislike about your product. Let's dive in!
Considering all the craze around cryptocurrencies happening all around us this year, our team has also decided to dip their toes into these crypto-waters and invest a little bit of money into the hype. In this blog, we will build a simple Google Sheet based portfolio monitoring tool. It is supposed to auto-update with new values on exchange rate changes.
In this post we will use modern Natural Language Processing techniques to find similar posts in a Facebook group.You have probably been in a situation where you want to post something in a Facebook group but you are not sure whether almost the same post already exists and is maybe just hiding on the next page.
In the last part of the tutorial, we managed to interactively draw location points on the zoomed in country and added a tooltip linking directly to our content. One thing we are missing is an overview of what content is available for which countries without having to manually click through all the points available.
Gut feeling used to be the biggest asset of successful businessmen in the past. Nowadays, intuition still plays an important role, but with all the available knowledge and technologies, there has been a significant shift. One of the most important sources of a competitive advantage these days is data. Big Data is a hype and undoubtedly a bandwagon to jump on. But how?
For this blog post we decided to jump on the PokémonGO hype and add a bit of science into the craze. Our goal is to give you the optimal portfolio of Pokémon to train, so you can be as effective as possible against a wide variety of opponents. As each Pokémon has its strengths and weaknesses, we created clusters of Pokémon with similar characteristics and looked at the few selected ones allowing the player to compete against as many different enemies as possible.
For our latest blog, we took discussion comments from the Slovak sports community website sport.sk and fed them to our deep learning model. We wanted to see, whether we could teach a model to generate these comments automatically from all the past comments we had and if it was going to learn the structures and nuances used in them. Enjoy! (Article is both in Slovak and English).