[Corpora-List] SemEval 2014 Task #9 -- CALL FOR PARTICIPATION

[Preslav Nakov]

**** CALL FOR PARTICIPATION ****


Sentiment Analysis in Twitter

SemEval 2014 Task #9


http://alt.qcri.org/semeval2014/task9/


INTRODUCTION

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We propose a sentiment analysis task and the development of a twitter
sentiment corpus to promote research that will lead to a better
understanding of how sentiment is conveyed in tweets and texts. *This is a
rerun of SemEval-2013 task 2 (Nakov et al, 2013) with new test data from
(i) Twitter and (ii) another (surprise) genre.*


There will be two sub-tasks: an expression-level task and a message-level
task; participants may choose to participate in either or both tasks.


- Task A: Contextual Polarity Disambiguation

Given a message containing a marked instance of a word or phrase from a
sentiment lexicon, determine whether that instance is positive, negative or
neutral in that context.


- Task B: Message Polarity Classification

Given a message and its topic, classify whether the message is of positive,
negative, or neutral sentiment towards the topic. For messages conveying
both a positive and negative sentiment toward the topic, whichever is the
stronger sentiment should be chosen.


IMPORTANT DATES

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Trial data ready October 30, 2013

Training data ready December 15, 2013 [TBC]

Test data ready March 10, 2014 [TBC]

Evaluation start March 15, 2014 [TBC]

Evaluation end March 30, 2014 [TBC]

Paper submission due April 30, 2014 [TBC]

Paper reviews due May 30, 2014 [TBC]

Camera ready due June 30, 2014 [TBC]

SemEval workshop August 23-30, 2014 [TBC]


MORE INFORMATION

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The Semeval-2014 Task #9 website

http://alt.qcri.org/semeval2014/task9/


If interested in the task please join the Google group

semevaltweet at googlegroups.com


To register for participation

http://alt.qcri.org/semeval2014/index.php?id=registration-1<http://www.cs.york.ac.uk/semeval-2013/index.php?id=registration>



ORGANIZERS

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Sara Rosenthal, Columbia University
Alan Ritter, The Ohio State University
Veselin Stoyanov, Facebook

Preslav Nakov, Qatar Computing Research Institute
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