Codalab hosting service removed completely the data of this competition last year because of a server failure. Therefore, no information about participants or results is available through these pages. This competition is here just for historical purposes.
The workshop and shared task "Sentiment Analysis at SEPLN (TASS)" has been held since 2012, under the umbrella of the International Conference of the Spanish Society for Natural Language Processing (SEPLN). TASS was the first shared task on sentiment analysis in Twitter in Spanish. Spanish is the second language used in Facebook and Twitter , which calls for the development and availability of language-specific methods and resources for sentiment analysis. The initial aim of TASS was the furtherance of research on sentiment analysis in Spanish with a special interest on the language used in Twitter.
Although sentiment analysis is still an open problem, the Organization Committee would like to foster research on other tasks related to the processing of the semantics of texts written in Spanish. Consequently, the name of the workshop/shared task has been changed to "Workshop on Semantic Analysis at SEPLN (TASS)".
The Organization Committee appeals to the research community to propose and organize evaluation tasks related to other semantic tasks in the Spanish language. New tasks provide an opportunity to create linguistic resources, evaluate their usefulness, and promotes the consolidation of a community of researchers interested in the addressed topics. Thus, we encourage the semantic processing community to propose and submit an evaluation tasks (see Proposal of Tasks).
The tasks we propose are the natural evolution from TASS 2018 Task 1. The first aim of this task is the furtherance of research on sentiment analysis in Spanish with a special interest on the language used in Twitter. The target community for this task is any research group working in this area. Traditionally, we have had about ten systems each year. The task tries to attract Hispanic American groups and offering a common meeting point in the research of this type of task.
This task focuses on the evaluation of polarity classification systems of tweets written in Spanish. The submitted systems will have to face up with the following challenges:
The participants will be provided with a training, a development and several test corpora (see important dates). All the corpora are annotated with 4 different levels of opinion intensity (P, N, NEU, NONE).
In case the participants submit a supervised or semi-supervised system, it must be only trained with provided training data and it is totally forbidden the use of other training set. However, linguistic resources like lexicons, vectors of word embeddings or knowledge bases can be used. We want a fair competition and furtherance the creativity, so we want to assess the originality of the systems given the same set of training data.
On each submitted data set, macro precission, macro recall, macro F1-score and accuracy are computed. Submissions are ranked according to macro F1-score.
Registering to the task and submitting your results only implies registration in TASS task. To attend it, the registration must be made through the space provided for that purpose on the page of the XXXV International Congress of the Spanish Society for Natural Language Processing (http://www.sepln2019.com/)
This license is signed between the undersigned user/user group and MeaningCloud Europe (Spain), acting on behalf of the organizing committee of the TASS workshop for sentiment analysis and online reputation analysis focused on Spanish, which also includes SINAI group at University of Jaén (Spain).
The TASS Dataset is a corpus of texts (mainly tweets) in Spanish tagged for Sentiment Analysis related tasks. It is divided into several subsets created for the various tasks proposed in the different editions through the years. All the information on these datasets can be found in the TASS website at http://www.sepln.org/workshops/tass
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|March 7, 2019:||Registration open|
|March 19, 2019:||Training and development sets released|
|May 1, 2019:||Test set released|
|May 12, 2019:||Submission end|
|May 14, 2019:||Results posted|
|May 25, 2019:||Deadline for paper submission|
|June 15, 2019:||Notification of acceptance|
|July 3, 2019:||Deadline for camera ready paper submission|
|September 24, 2019:||IberLEF, SEPLN 2019, Bilbao (Spain)|
Format details will be communicated shortly, according to the specifications of IberLEF organizers.
More info at IberLEF webpage.
Manuel Carlos Díaz Galiano (Universidad de Jaén, Spain)
Miguel Ángel García Cumbreras (Universidad de Jaén, Spain)
Manuel García Vega (Universidad de Jaén, Spain)
Arturo Montejo Ráez (Universidad de Jaén, Spain)
Edgar Casasola Murillo (University of Costa Rica, Costa Rica)
Marco Antonio Sobrevilla Cabezudo (University of São Paulo, Brazil)
Luis Chiruzzo (University of la República, Uruguay)
The starting kit at Participate > Files contains the script evaluate.py which you can use to test your submission files. It expects two input files: a submission candidate file and a gold standard. It dumps scoring metrics to standard output.
For each subtask, a unique submission file has to be uploaded (up to 3 submissions). This file is a ZIP file containing the predictions for each language with the following naming convention (ISO country codes):
/- |- es.tsv |- pe.tsv |- cr.tsv \- uy.tsv
Your submission may contain predictions for all targeted languages or only some of them (even just one). Therefore, your submission will be scored only against provided languages. For both subtasks, submitted ZIP files follow the same structure.
Each TSV is a plain text file with the following format (Tab Separated Values):
tweet_id \t polarity
There is a Google Group list where you can post your questions: Tass2019 Google Group
Start: March 19, 2019, midnight
Start: May 1, 2019, midnight
Start: May 1, 2019, midnight
May 12, 2019, midnight
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