Google Cloud AutoML Natural Language vs. Microsoft Text Analytics API
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud AutoML Natural Language | Microsoft Text Analytics API |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 62 | 14 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 9.0 | 9.3 |
| Quality of support | 8.9 | 8.0 |
| Meets requirements | 8.7 | 8.2 |
| NPS | 60.344828 | 50 |
| Small Business | 66.1% | 57.1% |
| Mid-Market | 17.7% | 21.4% |
| Enterprise | 16.1% | 21.4% |
| Total page views | 2,872 | 76 |
| Total LLM citations | 18 | 14 |
Google Cloud AutoML Natural Language
The powerful pre-trained models of the Natural Language API let developers work with natural language understanding features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
Microsoft Text Analytics API
Microsoft Text Analytics API is a suite of text analytics services that offer APIs for sentiment analysis, key phrase extraction and topic detection for English text, as well as language detection for 120 languages.