The most attractive aspect of the Google Cloud Natural Language API is that it is able to analyze and understand the human language promptly without the need for complicated machine learning algorithms or programming codes. It has some great tools such as sentiment analysis, entity recognition, syntax analysis, and content categorization that make it a great option for various practical uses. It is very easy to use and can be integrated into other Google Cloud Services. It is also reliable and scalable. Furthermore, the documentation is also clear and concise. Review collected by and hosted on G2.com.

The main limitation of Google Cloud Natural Language API is that it may have issues with understanding contexts, sarcasm, slang, or domain-specific language. Its accuracy depends on the nature of text. It also becomes costly when used for large amounts of data, particularly for those applications which are heavily used. Another disadvantage is that some extra customization or models based on machine learning will be required for certain specific cases. Dependency on Google Cloud may also be a drawback for some projects. Review collected by and hosted on G2.com.