First Look to assess affiliate reviews with AI Sentiment Analysis tool

The tool uses natural language processing and artificial intelligence to read and understand the sentiment behind reviews written by all of the affiliates that have signed up to and used the First Look platform.

Each affiliate review is then given a sentiment score from one, the lowest score, to the highest score of five, with the average score for each game measured and shared with the studio. Studios can also receive an average score for the sentiment across all of their games.

First Look will use the sentiment scores as part of its Game Index, which ranks all of the games listed in its library. The Index is currently based on the number of game reviews made by affiliates, games’ audience reach and the number of free-to-play demo sessions played.

The tool is an extension of First Look’s Accuracy Management Service, a tool designed to identify inaccurate reviews of games and automatically communicate corrections on behalf of the developer.

Tom Galanis, managing director of First Look Games, said that since the platform’s launch, its game studio partners have been looking for ways to improve the reviews they receive from affiliates.

“Sentiment Analysis is a great addition to our suite of tools that allow our studio partners to have a clear understanding of how their games are being received by affiliates and players,” Galanis said.

“Combined with the other tools and services we provide such as the Demo Game Server, Accuracy Management, First Look Premium and our Coverage Reporting, Sentiment Analysis is another piece of the technical innovation puzzle that makes our platform – and the affiliates we work with – the ultimate vehicle to market online casino games.”