The case study was deviced to utilize Google Cloud Platform ML models to perform entity-based sentiment analysis as well as aspect-based (or feature-based) sentiment analysis. At the entity level, it identifies sentiments toward various types of entities such as people, organizations, brands, and products. At the aspect level, it provides finer-grained sentiment analysis directed toward different aspects of entities. In this way, the tool pinpoints what the sentiment is and precisely what the sentiment is about, making sentiment analysis much more informative and useful to its users
- Allows much more detailed sentiment analytics on each entity
- Addresses cases where multiple, conflicting sentiments are expressed within a single document or sentence
