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FYI: SemEval 2014: Aspect Based Sentiment Analysis


Author: Maria Pontiki

Linguistic Field(s): Computational Linguistics

Subject Language(s): English

FYI Body: CALL FOR PARTICIPATION AT THE SEMEVAL 2014 TASK 4:
HTTP://ALT.QCRI.ORG/SEMEVAL2014/TASK4/INDEX.PHP?ID=CALL-FOR-PARTICIPATION

TRAINING DATA FOR THE TASK 4 (ASPECT BASED SENTIMENT ANALYSIS) ARE NOW AVAILABLE FOR DOWNLOAD THROUGH: HTTP://ALT.QCRI.ORG/SEMEVAL2014/TASK4/INDEX.PHP?ID=DATA-AND-TOOLS

THE AIM OF THIS TASK IS TO ALLOW A FINER-GRAINED ASPECT BASED SENTIMENT ANALYSIS (ABSA).

THE GOAL IS TO IDENTIFY THE ASPECTS (E.G. BATTERY, SCREEN; FOOD, SERVICE) OF GIVEN TARGET ENTITIES (CF. LAPTOP, RESTAURANT) AND THE SENTIMENT EXPRESSED TOWARDS EACH ASPECT.

TASK DESCRIPTION:
SENTIMENT ANALYSIS IS INCREASINGLY VIEWED AS A VITAL TASK BOTH FROM AN ACADEMIC AND A COMMERCIAL STANDPOINT. THE MAJORITY OF EXISTING EVALUATIONS IN SENTIMENT ANALYSIS (SA) ARE AIMED AT EVALUATING THE OVERALL POLARITY OF A SENTENCE, PARAGRAPH, OR TEXT SPAN. IN CONTRAST, THIS TASK WILL PROVIDE EVALUATION FOR DETECTING ASPECTS AND THE SENTIMENT EXPRESSED TOWARDS EACH ASPECT.