Enhancing deep learning sentiment analysis with ensemble techniques in social applications O Araque, I Corcuera-Platas, JF Sánchez-Rada, CA Iglesias Expert Systems with Applications 77, 236-246, 2017 | 664 | 2017 |
Social Context in Sentiment Analysis: Formal Definition, Overview of Current Trends and Framework for Comparison JF Sánchez-Rada, CA Iglesias Information Fusion, 2019 | 153 | 2019 |
Onyx: A linked data approach to emotion representation JF Sánchez-Rada, CA Iglesias Information Processing & Management 52 (1), 99-114, 2016 | 67 | 2016 |
JAICOB: A Data Science Chatbot D Carlander-Reuterfelt, Á Carrera, CA Iglesias, Ó Araque, JFS Rada, ... IEEE Access 8, 180672-180680, 2020 | 55 | 2020 |
Mixedemotions: An open-source toolbox for multimodal emotion analysis P Buitelaar, ID Wood, S Negi, M Arcan, JP McCrae, A Abele, C Robin, ... IEEE Transactions on Multimedia 20 (9), 2454-2465, 2018 | 51 | 2018 |
Automated Assessment in Programming Courses: A Case Study during the COVID-19 Era E Barra, S López-Pernas, Á Alonso, JF Sánchez-Rada, A Gordillo, ... Sustainability 12 (18), 7451, 2020 | 49 | 2020 |
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices. S Muñoz, O Araque, JF Sánchez-Rada, CA Iglesias Sensors (Basel, Switzerland) 18 (5), 2018 | 34 | 2018 |
Linguistic Linked Data for Sentiment Analysis P Buitelaar, M Arcan, CA Iglesias, JF Sánchez-Rada, C Strapparava 2nd Workshop on Linked Data in Linguistics, 1, 2013 | 32 | 2013 |
Aspect Based Sentiment Analysis of Spanish Tweets. O Araque, I Corcuera, C Román, CA Iglesias, JF Sánchez-Rada TASS@ SEPLN, 29-34, 2015 | 29 | 2015 |
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain JF Sánchez-Rada, M Torres, CA Iglesias, R Maestre, E Peinado | 25* | |
Senpy: A Pragmatic Linked Sentiment Analysis Framework JF Sánchez-Rada, CA Iglesias, I Corcuera, Ó Araque Data Science and Advanced Analytics (DSAA), 2016 IEEE International …, 2016 | 21 | 2016 |
CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection JF Sánchez-Rada, CA Iglesias Applied Sciences 10 (5), 1662, 2020 | 14 | 2020 |
GSITK: A sentiment analysis framework for agile replication and development O Araque, JF Sánchez-Rada, CA Iglesias SoftwareX 17, 100921, 2022 | 12 | 2022 |
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks JM Sánchez, CA Iglesias, JF Sánchez-Rada International Conference on Practical Applications of Agents and Multi-Agent …, 2017 | 12 | 2017 |
A linked data model for multimodal sentiment and emotion analysis JF Sánchez-Rada, CA Iglesias, R Gil Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and …, 2015 | 12 | 2015 |
Onyx: Describing Emotions on the Web of Data. JF Sanchez-Rada, CA Iglesias ESSEM@ AI* IA, 71-82, 2013 | 12 | 2013 |
Applying recurrent neural networks to sentiment analysis of spanish tweets O Araque, R Barbado, JF Sánchez-Rada, CA Iglesias Proceedings of TASS 1896, 2017 | 11 | 2017 |
EUROSENTIMENT: Linked Data Sentiment Analysis JF Sánchez-Rada, G Vulcu, CA Iglesias, P Buitelaar Proceedings of the 13th international semantic web conference ISWC, 145-148, 2014 | 10 | 2014 |
Linked Data Models for Sentiment and Emotion Analysis in Social Networks CA Iglesias, JF Sánchez-Rada, G Vulcu, P Buitelaar Sentiment Analysis in Social Networks, 49-69, 2017 | 9 | 2017 |
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources G Vulcu, P Buitelaar, S Negi, B Pereira, M Arcan, B Coughland, ... Telecomunicacion, 2014 | 9 | 2014 |