We analyzed 3 236 reviews on Legend of Zelda: Breath of the Wild

We wanted to see what players thought of Legend of Zelda: Breath of the Wild

Photo: Brett Chalupa

The Legend of Zelda is a video game series that takes place in the fictional Kingdom of Hyrule lead by Princess Zelda. The protagonist of the series is Link, a young man who is destined, in most of the games, to save Hyrule from evil.

Zelda is one of Nintendo’s most popular game, with a very big fan base. We wanted to see what we could learn about such a developed game and how its evolution from older to newer platforms are being received. So we took 3 236 reviews of The Legend of Zelda: Breath of the Wild from Amazon and ran them through Gavagai explorer. Some things we learned really surprised us!

Here are 3 things we found out!

The biggest positive driver is the topic “explore”. This topic is referring to the exploration part of the game an is high rated with a grade of 4,79 / 5.

The biggest negative driver in this analysis is the topic “weapons” with an average grade of 4,06 / 5. Upon further studies, the topic indicates discontentment with the games weapon system.

The topic “zelda” is the most occurring topic in this analysis, with an average grade 4,77 / 5. When looking closer at the topic, the analysis indicates that the people are comparing the game to the rest of the franchise.

What can we tell from this?

In the topic “Zelda” we found that the overall negative sentiments detected were 5% out of 920 texts. This indicates that the customers are overall satisfied with the game and how it plays. But we think that these insights can provide possible guidelines for developers when working on updates or new releases.

The topic “weapons” has a strong relation to the topic “break”. When we take a closer look, we can see that gamers mostly complain about the weapons breaking too frequently. We think the topics in this analysis are impactful. If further studies are conducted, they can help the developers meet customer demands and improve developments.

Want to try this kind of analysis on your own data?

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