[Alumnos-ii-cs] Coloquio Departamental, Martes 18 de Agosto 12:00, LPA, CSSJ y F106, CC

Ricardo Nanculef jnancu at inf.utfsm.cl
Fri Aug 14 16:58:01 CLST 2015


Estimad at s, 

El próximo *Martes 18 de Agosto a las 12:00* el Sr. Felipe Bravo-Marquez, del Grupo de Machine Learning de la Universidad de Waikato (Nueva Zelanda), nos ofrecerá un coloquio titulado "Supervised Models for Twitter Opinion Lexicon Expansion". 

La charla tendrá lugar en el Laboratorio de Programación Avanzada (LPA) del Campus San Joaquín y se transmitirá por videoconferencia al Auditorio Claudio Matamoros (F-106) en Casa Central. 

¡Quedan todos cordialmente invitados! 

*Resumen:* 
Many sentiment analysis applications rely on opinion lexicons, which are linguistic resources that associate words to sentiment values.  Twitter-specific sentiment applications must deal with a language that includes many informal expressions that are not observed in traditional  media, e.g., acronyms, hashtags, misspelled words, and abbreviations. The diversity and sparseness of this language make the manual creation of a Twitter-oriented opinion lexicon a time-consuming task. In this talk, we  will present two different supervised models for automatically discovering Twitter opinion words from a corpus of tweets. Both works were recently published at IJCAI and SIGIR conferences respectively.

*Mini Bio:* 
Felipe Bravo-Marquez is currently doing his PhD at the machine learning group in the University of Waikato, New Zealand. He received two engineering degrees in the fields of computer science and industrial engineering, and a master’s degree in computer science, all from the University of Chile. He worked for three years as a research engineer at Yahoo! Labs Latin America. His main areas of interest are: data mining, natural language processing, information retrieval, and sentiment analysis.
You can find his full list of publications at:  http://www.cs.waikato.ac.nz/~fjb11/

Cordiales Saludos, 

Comité de Coloquio
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