447 Hits in 5.6 sec

MAS: A Corpus of Tweets for Marketing in Spanish [chapter]

María Navas-Loro, Víctor Rodríguez-Doncel, Idafen Santana-Pérez, Alba Fernández-Izquierdo, Alberto Sánchez
2018 Lecture Notes in Computer Science  
This paper presents a corpus of manually tagged tweets in Spanish language, of interest for marketing purposes.  ...  For every Twitter post, tags are provided to describe three different aspects of the text: the emotions, whether it makes a mention to an element of the marketing mix and the position of the tweet author  ...  We would also want to thank Pablo Calleja for his help in corpora statistics extraction.  ... 
doi:10.1007/978-3-319-98192-5_53 fatcat:kntkvfutvna37fbywrxgrfhc6i

A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

Guillem Aguado, Vicente Julián, Ana García-Fornes, Agustín Espinosa
2020 Applied Sciences  
For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies  ...  For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed.  ...  Reference Dataset or Datasets Partitions Development corpus: this corpus is a collection of 3000 stress-related tweets, manually classified by the author for stress and relaxation.  ... 
doi:10.3390/app10196746 fatcat:m2gqf3utabgtrcvhtbh53hksfq

US Presidential Election 2012 Prediction using Census Corrected Twitter Model [article]

Murphy Choy, Michelle Cheong, Ma Nang Laik, Koo Ping Shung
2012 arXiv   pre-print
The presidential debates injected new vigor in the challenger's campaign and successfully captured the electorate of several states posing a threat to the incumbent's position.  ...  Much of the sentiment in the election has been captured in the online discussions.  ...  Acknowledgement The authors will like to thank the various independent observers for assisting to validate the results.  ... 
arXiv:1211.0938v3 fatcat:b4nnffblefct5fe5czdpfnhigq

Negation Detection on Mexican Spanish Tweets: The T-MexNeg Corpus

Gemma Bel-Enguix, Helena Gómez-Adorno, Alejandro Pimentel, Sergio-Luis Ojeda-Trueba, Brian Aguilar-Vizuet
2021 Applied Sciences  
In this paper, we introduce the T-MexNeg corpus of Tweets written in Mexican Spanish. It consists of 13,704 Tweets, of which 4895 contain negation structures.  ...  Furthermore, we performed various experiments to automatically identify negation using the T-MexNeg corpus and the SFU ReviewSP-NEG for training a machine learning algorithm.  ...  We performed a manual tagging process for labeling each of the tweets in the corpus. The tagging process involved three teams of two annotators.  ... 
doi:10.3390/app11093880 doaj:aabcbb3275f84774a29fd5316c428436 fatcat:dzcyo2mp5fdajgnm7yz5zzbora

Segmenting Target Audiences: Automatic Author Profiling using Tweets: Notebook for PAN at CLEF 2015

Mayte Giménez, Delia-Irazú Hernández, Ferran Plà
2015 Conference and Labs of the Evaluation Forum  
This paper describes a methodology proposed for author profiling using natural language processing and machine learning techniques. We used lexical information in the learning process.  ...  For those languages without lexicons, we automatically translated them, in order to be able to use this information.  ...  for Multimedia Analytics (MEC TIN2014-54288-C4-3-R).  ... 
dblp:conf/clef/GimenezHP15 fatcat:ylextuzbhfhhli3blmnhu5i5y4

Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets

Mario Ezra Aragón, Miguel Ángel Álvarez Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma
2019 Annual Conference of the Spanish Society for Natural Language Processing  
As a novelty in this year's edition, it considers the use of text and images as information sources, with the aim of studying the relevance and complementarity of multimodal data for profiling social media  ...  This track considers two tasks, author profiling and aggressiveness detection, both of them using Mexican Spanish tweets.  ...  Acknowledgements Our special thanks go to all of MEX-A3T's participants.  ... 
dblp:conf/sepln/AragonCMEPM19 fatcat:mnvptnucgfhgbo24h3nzkrykki

Author Profiling in Informal and Formal Language Scenarios Via Transfer Learning

Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave
2021 Tecno Lógicas  
The models were tested in two different databases consisting of tweets (informal) and call-center conversations (formal).  ...  The results indicate that, in relation to the traits considered in this paper, it is possible to transfer the knowledge from a system trained on a specific type of expressions to another one where the  ...  All the authors take responsibility for the integrity of the data and the accuracy of the data analysis.  ... 
doi:10.22430/22565337.2166 fatcat:kcgz5khd25fv3p43543sdyxj7u

Evaluation of potential features present in short texts in spanish in order to classify them by polarity

Édgar Casasola Murillo, Antonio Leoni de León, Gabriela Marín Raventós
2017 Kanina: revista de artes y letras  
The evaluation of text markers obtained as a result of systematic analysis from a corpus over a second one allowed us to identify that emphasized positive words that tend to appear in positive text posts  ...  The evaluation of the markers for polarity detection task, in combination with a polarized dictionary, produced polarity classification average precision of 0.56 % using only three markers.  ...  A corpus made of 1,910,514 Spanish comments was used for potential marker quantification. In using this corpus, potential lexical text markers are identified and counted.  ... 
doi:10.15517/rk.v40i4.30223 fatcat:n4dm6i4bg5bbpmd2bu34tvyzia

NAYEL@APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts

Hamada A. Nayel
2019 Forum for Information Retrieval Evaluation  
There are two tasks, Author Profiling in Arabic Tweets and Deception Detection in Arabic Texts. We have submitted three runs for each task.  ...  In this paper, we describe the methods and experiments that have been used in development of our system for Author Profiling and Deception Detection in Arabic shared task.  ...  The training corpus for this task consists of tweets in Arabic, labeled with age, gender and language variety.  ... 
dblp:conf/fire/Nayel19 fatcat:w27pzdgyo5hfrbfvjofnpikzxq

TASS - Workshop on Sentiment Analysis at SEPLN

Julio Villena-Román, Sara Lana-Serrano, Eugenio Martínez-Cámara, José Carlos González Cristóbal
2013 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Este artículo describe las tareas propuestas, el contenido, formato y las estadísticas más importantes del corpus generado, los participantes y los diferentes enfoques planteados, así como los resultados  ...  Corpus The corpus provided to participants contains over 70,000 tweets, written in Spanish by nearly 200 well-known personalities and celebrities of the world of politics, economy, communication, mass  ...  Detection of polarity words is done according to a polarity lexicon built in two ways: projection to Spanish of an English lexicon, and extraction of divergent words of positive and negative tweets of  ... 
dblp:journals/pdln/Villena-RomanLMC13 fatcat:unwo2hmcercy3jci4wdbmvolnu

Bots and Gender Profiling using Masking Techniques

Victor Jimenez-Villar, Javier Sánchez-Junquera, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Simone Paolo Ponzetto
2019 Conference and Labs of the Evaluation Forum  
The task consists in identifying whether the author of a Twitter feed is a bot or a human, and, in case of a human, in determining if the author is male or female.  ...  Using this approach we obtained accuracies of 0.92 and 0.81 in the Spanish test set for classifying bots/humans and males/females, respectively; similarly, we obtained accuracy values of 0.91 and 0.82  ...  The corpus is composed of documents in English and Spanish, where each document contains 100 tweets for each author. The statistics of this corpus are presented in Table 1 .  ... 
dblp:conf/clef/Jimenez-VillarS19 fatcat:5s3yphwhjzextafzrv3lla65ly

Ontology-driven aspect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America

José Antonio García-Díaz, Mar Cánovas-García, Rafael Valencia-García
2020 Future generations computer systems  
employing a case study of tweets concerning the Zika, Dengue and Chikungunya viruses in Latin America.  ...  Our proposal is available on a web platform, where users can see the sentiment for each concept at a glance and analyse how each concept influences the sentiment of the others.  ...  In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the Doctorado industrial programme.  ... 
doi:10.1016/j.future.2020.06.019 pmid:32572291 pmcid:PMC7301140 fatcat:xxt6mfojevf3zhpu4fchr3lzuq

Corpus Annotation and Analysis of Sarcasm in Twitter: #CatsMovie vs. #TheRiseOfSkywalker

Antonio Moreno-Ortiz, María García-Gámez
2022 Atlantis  
This dataset is a sample from a larger corpus of tweets (n= 76,764) on two highly controversial films: Cats and Star Wars: The Rise of Skywalker.  ...  In this paper we describe the creation of a manually-annotated dataset where detailed text markers are included.  ...  Due to the nature of the tweets in our corpus, which comment on highly controversial films, the proportion of sarcastic tweets and therefore the proportion of those that pose a problem for sentiment analysis  ... 
doi:10.28914/atlantis-2022-44.1.11 doaj:cecdf175014c4e5d83f8169bc7ff34ff fatcat:fwjgjcjqurgvjcprkcxezeoaim

Discovering topics in Twitter about the COVID-19 outbreak in Spain

Marvin M. Agüero-Torales, David Vilares, Antonio Gabriel López-Herrera
2021 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
To do so, we first collect a large corpus of Spanish tweets and clean them.  ...  Then, we cluster the tweets into topics using a Latent Dirichlet Allocation model, and define generative and discriminative routes to later extract the most relevant keywords and sentences for each topic  ...  Acknowledgements MMAT has been partially funded by Barcelona Supercomputing Center (BSC) through the Spanish Plan for advancement of Language Technologies 'Plan TL' and the Secretaría de Estado de Digitalización  ... 
dblp:journals/pdln/Aguero-ToralesV21 fatcat:br4krtxr3venjc6e4j7eylixuy

Movement or debate? How #MeToo is framed differently in English, Spanish and German Twitter discourse [chapter]

Mario Bisiada
2021 Zenodo  
This article examines 1,353 tweets on #MeToo in English, Spanish and German from July and August 2019, revealing how #MeToo is most commonly referred to as a "movement" in English and Spanish but as a  ...  Reflecting this difference, #MeToo is talked about in more negative terms in German tweets compared to English and Spanish, as shown by a qualitative analysis of evaluative author stance.  ...  The tweets in the English and Spanish corpora show a higher frequency of positive stance (47% and 42%) when compared to the tweets in the German corpus (27%), and show a lower frequency of negative stance  ... 
doi:10.5281/zenodo.4450085 fatcat:o435beduijfwxgso7vtlusridu
« Previous Showing results 1 — 15 out of 447 results