Florianópolis, Santa Catarina, Brasil
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Federal University of Amazonas

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I am ionate about technology, how it can be used to solve problems in other areas…

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Experiencia y educación

  • Mio Vinci Partners

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Licencias y certificaciones

Experiencia de voluntariado

  • Gráfico Universidade Federal de Santa Catarina

    Software Engineer

    Universidade Federal de Santa Catarina

    - 4 mes

    Ciencia y tecnología

    COVIDAPP - https://covidapp.ufsc.br/

  • Event Coordinator

    Python Floripa

    - actualidad 5 años 3 meses

    Ciencia y tecnología

    Python Floripa Meetup - https://www.meetup.com/pt-BR/Floripa-Python-Meetup/

Publicaciones

  • Multi-Entity Polarity Analysis and Detection of Subjectivity in Financial Documents

    VOL 6, NO 2 (2015): JOURNAL OF INFORMATION AND DATA MANAGEMENT

    Polarity analysis aims at classifying an author’s opinion as positive, negative, or neutral. However, given the sheer volume of information available on the web, manually carrying out such task is unfeasible. In particular, this type of analysis is useful for companies when making decisions related to the financial market, which is particularly prone to changes according to shifting moods and opinions. Most studies in the literature deal with this problem by considering that whole documents…

    Polarity analysis aims at classifying an author’s opinion as positive, negative, or neutral. However, given the sheer volume of information available on the web, manually carrying out such task is unfeasible. In particular, this type of analysis is useful for companies when making decisions related to the financial market, which is particularly prone to changes according to shifting moods and opinions. Most studies in the literature deal with this problem by considering that whole documents have a single, global polarity. However it is not unusual that documents have opinions on several entities with possibly different polarities. This suggests that the polarity classification should be performed in an entity level. We also noted that many financial documents may not emit any opinion. Therefore, in this paper we propose a supervised polarity classification method based on multiple models and detection of subjectivity, in order to deal with financial documents that cite multiple entities. Our results showed that the hierarchical, multiple-models approach significantly outperformed the global-model baseline.

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  • Multi-Entity Polarity Analysis in Financial Documents

    Webmedia 2014

    The amount of information available in the Internet does not allow performing manual content analysis to identify information of interest. Thus, automated analyses are used to identify information of interest, and one increasingly important approach is the polarity analysis. Polarity analysis is the classification of a text document in positive, negative, and neutral, according to a certain topic. This classification of information is particularly useful in the finance domain, where news about…

    The amount of information available in the Internet does not allow performing manual content analysis to identify information of interest. Thus, automated analyses are used to identify information of interest, and one increasingly important approach is the polarity analysis. Polarity analysis is the classification of a text document in positive, negative, and neutral, according to a certain topic. This classification of information is particularly useful in the finance domain, where news about a company can affect the performance of its stocks. Although most of the methods in financial domain consider that the whole document is associated with a particular entity, this is not always the case. In fact, it is common that authors cite several entities in a single document and these entities are cited with different polarity. Accordingly, the objective of this paper was to study strategies for polarity detection in financial documents with multiple entities. Specifically, we studied methods based on learning of multiple models, one for each ob- served entity, using SVM classifiers. We evaluated models based on the partition of documents into fragments according to the entities they cite. We used several heuristics to segment documents based on shallow and deep natural language processing (NLP). We found that entity-specific models created by partitioning the document collection into segments outperformed the strategy based on the use of entire documents. We also observed that more complex segmentation using anaphora resolution was not able to outperform a low-cost approach, based on simple string matching.

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Proyectos

  • SeaTools Bootable

    SeaTools Bootable tests SATA and USB interface drives. All of the Basic Tests are data safe. The Advanced Features menu has Full Erase which is not data safe.

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  • Cockpit - Dashboard

    The Cockpit project is a Web Dashboard Tool for Neemu’s clients. With this tool, Neemu's clients can follow the performance of Neemu’s Search Engine and Recommendation System with an excellent graphical experience. This experience allows clients to identify in their website in a short period of time what are the trending products, the most searched products, the best performance rule for the recommendation system, performance of the autocomplete recommendation among other information. With…

    The Cockpit project is a Web Dashboard Tool for Neemu’s clients. With this tool, Neemu's clients can follow the performance of Neemu’s Search Engine and Recommendation System with an excellent graphical experience. This experience allows clients to identify in their website in a short period of time what are the trending products, the most searched products, the best performance rule for the recommendation system, performance of the autocomplete recommendation among other information. With these metrics the client can make the right decisions to improve the performance of its website using Neemu’s System.

    The Cockpit project is split in two parts: frontend and backend. In the frontend, used technologies include HTML5, JavaScript, CSS and PHP. In the backend, a WebService was created and implemented with NodeJS technology. The backend is completely scalable with the objective to meet the demands of the increasing number of Neemu’s clients.

    Moreover, another tool was created as a complement of the Cockpit project: the SearchManager. This system allows the to add features into the search engine system to improve the results of search system and prioritize a specific product. The technologies used in this tool are the same as the ones in the Dashboard Tool.

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  • Itaú Unibanco Windows Phone

    On this project I worked as Scrum Master and team leader responsible for the communication and negotiation with the client, set the date of releases and I managed the communication between developers, designer and tester.

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  • Latam Ecosystem

    Latam Ecosystem is a project for engaging developers in Latin America. The main tasks are the following: be speaker in conferences, technical for Windows Phone and Nokia S40, webinars, helping and teaching developers to efficiently design, develop, distribute, publish, monetize their apps and partnership with universities.

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  • Latam Apps Framework

    - actualidad

    Latam Apps Framework is an initiative to launch strategic apps in the Latin America Market. The project added important brands into the Nokia Ecosystem (S40 and Windows Phone): Terra, UOL, MTV Brazil, Abril, TeleListas, Buscapé, Itaú Unibanco Windows Phone...

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  • Mobile Deck

    MobileDeck: A new service and content channel for Java-enabled phones, where channel
    update and content done via SMS. Furthermore, it creates an opt-in SMS
    database and opportunities to create s. The Content can be updated by
    phone number (localization), phone model and other.

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  • Latam Ecosystem Development

    Latam Ecosystem is a project for engaging developers in Latin America through world-class. The main tasks are: be speaker in the conferences, technical Windows Phone and Nokia S40, webinars, helping and teaching developers to efficiently design, develop, distribute, publish, monetize their apps and partnership with universities.

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  • Apps Framework

    Research and create methodologies and tools to accelerate mobile applications development, having the main goal to increase the number of mobile Apps and content providers available in Portuguese.

    More information:

    - http://bit.ly/apps_pr
    - http://bit.ly/indt_wp
    - http://bit.ly/13LQgvz

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  • Telelistas WP7

    -

    Baixe agora a versão mobile do TeleListas.net, site número um de buscas por empresas e pessoas, com mais de 12 milhões de visitas/mês e o banco de dados mais completo e atualizado do Brasil.

    Ache informações de todas as empresas e profissionais do Brasil: telefones, endereços (mapas e rotas), sites, e-mails, serviços e comentários (3 milhões de empresas). Além de telefones fixos e endereços de pessoas de todo o país (20 milhões de pessoas).

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  • Nokia N97 WRT Widgets

    -

    Project in partnership with Forum Nokia to develop 5 WRT Widgets (MySpace, Friendster, eBay, Amazon and Hi5) that will be shipped worldwide in Nokia N97 device. All creation, from front-end ( experience, design, CSS and HTML) to back-end (Ajax and JavaScript) was done in IndT.

    Otros creadores

  • Nokia N97 WRT Widgets

    -

    N97 were the first touchscreen flagship device of Nokia. I was responsible to coordinate the production of 5 apps that were going to ship embedded in the device: MySpace, Friendster, Hi5, Amazon and Ebay.

    Otros creadores

Reconocimientos y premios

  • Webmedia 2014 - Honorable Mention Award

    20th Brazilian Symposium on Multimedia and the Web - Webmedia

    Honorable Mention Award for the paper entitled Multi-Entity Polarity Analysis in Financial Documents authored by Javier Zambrano Ferreira, Josiane Rodrigues, David Fernandes and Marco Cristo received at 20th Brazilian Symposium on Multimedia and the Web - Webmedia 2014 Full Papers Track held in João Pessoa, Paraíba, Brazil, November 18-21, 2014.

Idiomas

  • English

    Competencia básica profesional

  • Spanish

    Competencia básica profesional

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