It also automates processes to analyze large volumes of data, while maintaining accuracy and consistency, along with cost reduction. The process not only allows the use of various languages, but also carries out extraction and classification of sentiments based on a specific aspect, which could be an entity, concept, topic label, or any analysis dimension of interest. This kind of detailed analysis cannot be implemented using general machine-based learning systems. The APIs provided by the company are customizable and custom dictionaries can also be used to adapt to the client’s coverage and precision.