Developing Sentiment Annotator in UIMA – the Unstructured Management Architecture for Data Mining Applications

Abstract

In this paper we present UIMA – the Unstructured Information Management Architecture, an architecture and software framework for creating, discovering, composing and deploying a broad range of multi-modal analysis capabilities and integrating them with search technologies. We describe the elementary components of the framework and how they are deployed into more complex data mining applications.

The contribution is based on our experience in work on the sentiment analysis task for IBM Content Analytics project.

Keywords

• developing
• sentiment
• annotator
• uima
• unstructured
• management
• architecture
• data
• mining
• applications