Verified Authentic Review Based on 10 months of experience
Use Cases and Deployment Scope
How: We have several Influencer/Content Creator as our client and we use Google Cloud Natural Language API's text analysis feature to understand the sentiments of audience of the our client (Influencer/Content Creator).
We analyse thousands of comments of audiences/followers and provide the analysed data to influencers.
Problem Solve: Analysing thousants of comment manually is not possible and chances of human error is too high, Google Cloud Natural Language API is solving this issue so efficently.
Scope: We are planning to acrquire some other clients from different domain who needs such kind of result from raw data, like e-commerce mechant.
We analyse thousands of comments of audiences/followers and provide the analysed data to influencers.
Problem Solve: Analysing thousants of comment manually is not possible and chances of human error is too high, Google Cloud Natural Language API is solving this issue so efficently.
Scope: We are planning to acrquire some other clients from different domain who needs such kind of result from raw data, like e-commerce mechant.
Pros
- It's accuracy to translate source text into desired language.
- It provides final data without losing emotions of source/raw data
- It's efficiency is much better than Microsoft translator.
Cons
- Slight room of improvement in the implementation part.
Return on Investment
- Overall it has positive impact, we are not loosing money, on quarterly we have 250% ROI
Usability
Alternatives Considered
Microsoft Translator
Other Software Used
Webex Campaign, IBM Watson Content Analytics
