Abstract
The rapid growth in the use of social media has given rise to several new types of text analytics, such as buzz monitoring, opinion mining, and Sentiment Analysis (SA). SentiMetrix©, Inc., a company specializing in Sentiment Analysis, has built a scalable modular SentiGrade™ engine that provides near-real-time analysis and precise granular sentiment scores for textual documents across a variety of domains. SentiGrade™, combining several open-source components with proprietary technology developed by the SentiMetrix© team, utilizes in-depth analysis of the grammatical structure of each sentence and applies human-trained models to quantify the sentiment towards multiple topics. The engine was expanded to incorporate new TAPIR algorithms to better accommodate the needs of the psychology-related subject and the project.
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Notes
- 1.
More information on the link parser available at http://www.link.cs.cmu.edu/link/.
- 2.
Representational State Transfer (REST) is a style of software architecture for distributed hypermedia systems. A RESTful web service is a simple web service implemented using HTTP and the principles of REST. (http://en.wikipedia.org/wiki/Representational_state_transfer).
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Kagan, V., Rossini, E., Sapounas, D. (2013). Scoring Engine. In: Sentiment Analysis for PTSD Signals. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3097-1_5
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