This is super useful for apps with a medium to large number of reviews. Here's the Product Hunt iOS app.
Fun fact: I just got off a call with the team discussing our upcoming redesign of the app. 💃
@rrhoover Correct. We're useful to apps that have a lot of feedback. (by proxy a lot of passionate users) Product Hunt has enough users to generate relevant scores. We haven't been able to find any strong correlation in similar feedback. 55% of your app reviews are positive feedback. That's a great back pocket stat.
@chrismessina yep, we have a great lexical analysis engine looking at every review ever written about all apps on the iOS App Store and Google Play. What's cool is we look at entire statements, not just keywords, which is huge.
@chrismessina At the moment we focus on english reviews. English based reviews are the easies for us to detect precise feedback and emotion. Codeq is a precision over recall shop. We do have some baked in logic to notice when there's noise or a bot involved, but it's a work in progress. So far we've found our signals to be statistically accurate based on our expectations. Our computational linguistics team has spent a massive amount of time doing supervised learning to ensure we're filtering out questionable data.
@chrismessina thanks for hunting us dude. CrowdChunk has been a labor of love. We've gathered a great team of people who think critically about app reviews and we hope you’ll find some of the insights we’ve generated useful. Looking forward to folks feedback and critiques. Interested in what people have to say about your app? or a friends app? or an app category? Check us out.
@normanliang Sure. One of the biggest use cases is looking at competitive apps, or apps within an entire category, to gauge who is winning with consumers. It's especially effective for app categories with lots of feedback. (EG: Games, Social, etc.) You can also look at data trends for specific apps over long ranges of time to compare when you released a feature and what effect it had on your consumer experience. We scan both Play and the iOS App store daily. That's more text than a human could ever read within 24 hours. We're doing something for developers humans simply can't do fast enough. We're finding insights you could only produce with machine learning at scale.
Product Hunt
Codeq Natural Language Processing API
Raycast
Product Hunt
Raycast
Codeq Natural Language Processing API
Raycast
Codeq Natural Language Processing API
Codeq Natural Language Processing API
Codeq Natural Language Processing API
Flow
Codeq Natural Language Processing API
Codeq Natural Language Processing API
Product Hunt Regular
Raycast