Sao Paulo, San Pablo, Brasil
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Licencias y certificaciones

Publicaciones

  • The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset

    Brazilian Conference on Intelligent Systems (BRACIS)

    This work describes an opinion mining application over a dataset extracted from the web and composed of reviews with several Internet slangs, abbreviations and typo errors. Opinion mining is a study field that tries to identify and classify subjectivity, such as opinions, emotions or sentiments in natural language. In this research, 759.176 Portuguese reviews were extracted from the app store Google Play. Due to the large amount of reviews, large-scale processing techniques were needed…

    This work describes an opinion mining application over a dataset extracted from the web and composed of reviews with several Internet slangs, abbreviations and typo errors. Opinion mining is a study field that tries to identify and classify subjectivity, such as opinions, emotions or sentiments in natural language. In this research, 759.176 Portuguese reviews were extracted from the app store Google Play. Due to the large amount of reviews, large-scale processing techniques were needed, involving powerful frameworks such as Hadoop and Mahout. Based on tests conducted it was concluded that pre-processing has an insignificant role in opinion mining task for the specific domain of reviews of mobile apps. The work also contributed to the creation of a corpus consisting of 759 thousand reviews and a dictionary of slangs and abbreviations commonly used in the Internet.

    Otros autores
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Proyectos

  • Siscoban

    - actualidad

    Development and management of a business automation system, developed with Java and Ruby on Rails technology.

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  • OVeterano

    Collaborative platform for helping students from University of Brasilia. The platform provides useful queries on course timetables, courses and professors.

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  • Predição de aquisições de startups

    -

    (Português)
    Criação e preparação de base de dados de startups com informações sobre investimentos na empresa (CrunchBase)
    Desenvolvimento de modelos de aprendizagem supervisionada para predição de aquisição de startups com base em investimentos recebidos e realizados pela empresa


    (English)
    Assembled and prepared a dataset of startup companies with investments information from CrunchBase
    Developed classification models to predict startup’s acquisition based on investments…

    (Português)
    Criação e preparação de base de dados de startups com informações sobre investimentos na empresa (CrunchBase)
    Desenvolvimento de modelos de aprendizagem supervisionada para predição de aquisição de startups com base em investimentos recebidos e realizados pela empresa


    (English)
    Assembled and prepared a dataset of startup companies with investments information from CrunchBase
    Developed classification models to predict startup’s acquisition based on investments received by the startup

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  • Data analysis on Twitter

    -

    Qualitative analysis on Twitter during the Brazilian presidential election. Data mining and data analysis techniques applied on tweets about the presidencial election.

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  • RUnBBayes - An R package for the UnBBayes Framework

    -

    RUnBBayes is a package that allows R s to use some of UnBBayes probabilistic network inference and learning algorithms. It is still in its early stages. Nowadays it only allows Bayesian network (BN) inference (exact and approximate). In the near future we will be adding several BN learning algorithms, which are already implemented in UnBBayes.

    This packaged was first created by several undergraduate students who took the Applied Data Analysis course with me at UnB. Since then, I have…

    RUnBBayes is a package that allows R s to use some of UnBBayes probabilistic network inference and learning algorithms. It is still in its early stages. Nowadays it only allows Bayesian network (BN) inference (exact and approximate). In the near future we will be adding several BN learning algorithms, which are already implemented in UnBBayes.

    This packaged was first created by several undergraduate students who took the Applied Data Analysis course with me at UnB. Since then, I have made a few changes to improve performance and documentation.

    Otros creadores
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  • Sentiment analyser with Hadoop and Mahout

    -

    Text mining application in order to evaluate polarity in reviews of Google Play applications. Hadoop and Mahout were used due to large amount of data.

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Idiomas

  • Spanish

    Competencia básica profesional

  • English

    Competencia bilingüe o nativa

  • Portuguese

    Competencia bilingüe o nativa

  • German

    Competencia básica

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