Scoring Engine

  • Vadim Kagan
  • Edward Rossini
  • Demetrios Sapounas
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

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.

Keywords

Depression Marketing Mellon 

References

  1. 1.
    Cesarano C, Dorr B, Picariello A, Reforgiato D, Sagoff A, Subrahmanian VS (2006) OASYS: an opinion analysis system. Proceedings of AAAI-2006 spring symposium on computational approach to analyzing weblogsGoogle Scholar
  2. 2.
    Daniel Sleator and Davy Temperley (1991) Parsing English with a link grammar. Carnegie Mellon University Computer Science technical report, CMU-CS-91-196Google Scholar
  3. 3.
    Benamara F et al (2007) Sentiment analysis: adverbs and adjectives are better than adverbs alone. Proceedings of the 2007 international conference on weblogs and social media (ICWSM07). www.icwsm.org/papers3--Benamara-Cesarano-Picariello-Reforgiato-Subrahmanian.pdf
  4. 4.
    Turney P (2002) Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. Proceedings of the 40th annual meeting association for computational linguistics (ACL 02), pp 417–424Google Scholar
  5. 5.
    Kim SO, Hovy E (2004) Determining the sentiment of opinions. Proceedings of the 20th international conference on computational linguistics (COLING04), ACM Press, pp 1367–1373Google Scholar
  6. 6.
    Subrahmanian VS, Reforgiato D (2008) AVA: adjective-verb-adverb combinations for sentiment analysis. Intell Syst 23(4)Google Scholar
  7. 7.
    Levin B (1993) English verb classes and alternations: a preliminary investigation. University of Chicago Press, ChicagoGoogle Scholar

Copyright information

© The Author(s) 2013

Authors and Affiliations

  • Vadim Kagan
    • 1
  • Edward Rossini
    • 2
  • Demetrios Sapounas
    • 3
  1. 1.SentiMetrix©, Inc.BethesdaUSA
  2. 2.Roosevelt UniversityChicagoUSA
  3. 3.Center for International RehabilitationWashington, DCUSA

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