24.5233, FYI: SemEval 2014: Aspect Based Sentiment Analysis

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Mon Dec 16 19:20:06 UTC 2013

LINGUIST List: Vol-24-5233. Mon Dec 16 2013. ISSN: 1069 - 4875.

Subject: 24.5233, FYI: SemEval 2014: Aspect Based Sentiment Analysis

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Rajiv Rao, U of Wisconsin Madison
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Date: Mon, 16 Dec 2013 14:18:03
From: Maria Pontiki [mpontiki at ilsp.gr]
Subject: SemEval 2014: Aspect Based Sentiment Analysis

E-mail this message to a friend:
 Call For Participation at the SemEval 2014 Task 4:

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. 

Linguistic Field(s): Computational Linguistics

Subject Language(s): English (eng)

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