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- Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko
- SemEval@NAACL-HLT
- 2018
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from… (More)
- Saif M. Mohammad, Felipe Bravo-Marquez
- WASSA@EMNLP
- 2017
We present the first shared task on detecting the intensity of emotion felt by the speaker of a tweet. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities… (More)
- Saif M. Mohammad, Felipe Bravo-Marquez
- *SEM
- 2017
This paper examines the task of detecting intensity of emotion from text. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a technique called… (More)
- Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer
- IEEE/WIC/ACM International Conference on Web…
- 2016
The automatic detection of emotions in Twitter posts is a challenging task due to the informal nature of the language used in this platform. In this paper, we propose a methodology for expanding the… (More)
- Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete
- Knowl.-Based Syst.
- 2014
People react to events, topics and entities by expressing their personal opinions and emotions. These reactions can correspond to a wide range of intensities, from very mild to strong. An adequate… (More)
- Felipe Bravo-Marquez, Marcelo Mendoza, Bárbara Poblete
- WISDOM
- 2013
Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide… (More)
- Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez
- Expert Syst. Appl.
- 2014
This work proposes an extension of Bing Liu's aspect-based opinion mining approach in order to apply it to the tourism domain. The extension concerns with the fact that users refer differently to… (More)
- Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer
- IJCAI
- 2015
We present a supervised framework for expanding an opinion lexicon for tweets. The lexicon contains part-of-speech (POS) disambiguated entries with a three-dimensional probability distribution for… (More)
Abstract In this study we extend Bing Liu's aspect-based opinion mining technique to apply it to the tourism domain. Using this extension, we also offer an approach for considering a new alternative… (More)
- Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez
- IEEE/WIC/ACM International Joint Conferences on…
- 2013
In this paper, we propose Opinion Zoom, a modular software that helps users in an easy manner to understand the vast amount of tourism opinions disposed all over the Web. We also successfully… (More)