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  • Influence
TASS 2014 - The Challenge of Aspect-based Sentiment Analysis
TLDR
The third issue of TASS is described, in which four tasks have been proposed, related to sentiment analysis at entity level, and they are circumscribed on the Social TV phenomenon.
TASS 2013 - A Second Step in Reputation Analysis in Spanish
TLDR
This paper fully describes the proposed tasks, the contents, format and main figures of the generated corpus, the participant groups and their different approaches, and, finally, the overall results achieved and lessons learned in these two years.
Automatic Keyword Extraction for News Finder
TLDR
The paper focus is the description of the automatic keyword extraction (AKE) process for news characterization that uses several linguistic techniques to improve the current state of the text-based information retrieval.
TASS 2015 - The Evolution of the Spanish Opinion Mining Systems
TLDR
La cuarta edicion of TASS is described, resumiendo las principales aportaciones de los sistemas presentados, analizando los resultados y mostrando the evolucion of los mismos.
Overview of TASS 2015
TLDR
The TASS 2015 proposed tasks, the contents of the generated corpora, the participant groups and the results and analysis of them are presented.
DAEDALUS at PAN 2014: Guessing Tweet Author's Gender and Age
TLDR
The idea was to define, develop and evaluate a simple machine learning classifier able to guess the gender and the age of a given user based on his/her texts, which could become part of the solution portfolio of the company.
DAEDALUS at RepLab 2012: Polarity Classification and Filtering on Twitter Data
TLDR
The approach is based on the information provided by a semantic model that includes rules and resources annotated for sentiment analysis, a detailed morphosyntactic analysis of the input text that allows to lemmatize and divide the text into segments to be able to control the scope of semantic units.
A Plagiarism Detector for Intrinsic Plagiarism - Lab Report for PAN at CLEF 2010
TLDR
The algorithm is based on the LempelZiv distance, which is applied to extract structural information from texts and tries to find outliers in the vector of distances between each fragment of the text and the whole document itself.
TASS 2018: The Strength of Deep Learning in Language Understanding Tasks
TLDR
Two new tasks focused on semantic relation extraction in the health domain and emotion classification in the news domain were added to the two traditional tasks of TASS, namely sentiment analysis at tweet level and aspect level.
Overview of TASS 2016
TLDR
The TASS 2016 proposed tasks, the description of the corpora used, the participant groups, the results and analysis of them are presented.
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