Google Cloud Natural Language API vs. Kimola Cognitive

As I mentioned in the begining, we have some influence as our client, his engagement ratio was lesser than expected for good brand/promotion integration despite of good views. We analyzed the comments and share the final insights to the influencer, he made some recommended changes and now he has good engagement ratio. Based on out 8-9 months experience with Google Cloud Natural Language API, I don't find ay scenario which was not upto the mark.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Since using the tool for 4 months we have been extremely pleased with its performance. I've decided to share this review after receiving an email from the Kimola Team, and once I'm in the consumer insights business, I'll definitely support them. The interface and design are fantastic, with a great choice of colors, and Kimola has consistently introduced numerous improvements to the product since we first started using it. The ease of use is unmatched, allowing us to gain new insights and perspectives that were previously unattainable

• Despite exploring various software options to analyze client feedback, none have proven as specific and accurate as Kimola Cognitive.

• I believe that more language support should be added and it should reach more customers.

Because of its ROI and less requirement of manpower. On average we are getting 200 - 250% ROI quarterly. Also, we have reduced the team size but without affecting our business process and outcome

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

1- ROI is better than MS translator 2- MS translator just provide result more based on factually correct and hance loosed human emotions. Google Cloud Natural Language API is much better in this domain.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• In order to create a custom model, if you are not experienced in this field, you need to watch a video on youtube. This question has little to do with Kimola.