Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Automatic identification of pro and con reasons in online reviews
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
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Employee appraisal systems are widely regarded as fundamental to enhancing the success of organizations. Yet, there is evidence that employees doubt their benefits, organizations find them difficult to implement and their value is questioned. Although computing systems that support appraisals have been developed, their focus remains on recording information, thereby not providing the kind of meaningful and deeper support that could help appraisers and appraises achieve organizational goals. Hence, this paper explores the potential for utilizing sentiment analysis for developing a novel system for supporting appraisals. The paper reviews the challenges facing appraisal processes, summarizes some features of sentiment analysis and then proposes a new semantic framework for appraisal systems. The first steps in developing part of the framework using the GATE system are illustrated with an example showing the potential for using sentiment analysis for assessing whether objectives are SMART.