This paper briefly describes the approach taken to the Author Profiling task at PAN 13. It describes the simple features used, and the origins in thinking around text readability as a mechanism for identification, and the predictive model used which may have beneficially omitted classes, as well as offering commentary on the results obtained.

The PAN 2016 author profiling task is a supervised classification problem on cross-genre documents (tweets, blog and social media posts). Our system makes use of concreteness, sentiment and syntactic information present in the documents. We train a random forest model to identify gender and age of a document’s author. We report the evaluation results received by the shared task.

dear editor: thank you for your letter ref. no 2003-2 dated 7 november 2010 regarding the comments of an ophthalmologist from thailand named professor viroj wiwan on my article titled “evaluation of contrast sensitivity, color vision and visual acuity in patients with and without diabetes”. he has suggested that the combination of existing tests may be a good way to increase the sensitivity of ...

This paper describes the methods we have employed to solve the author profiling task at PAN-2015. The proposed system is based on simple content based features to identify an author’s age, gender and other personality traits. The problem of author profiling was treated as a supervised machine learning task. First content based features were extracted from the text and then different machine lea...

This paper describes the participation between the LIDIC research group of the UNSL from Argentina and the Language and Reasoning research group of the UAM Cuajimalpa from Mexico at the PAN’s 2016 Author Profiling task. For the proposed method we adopted a profile-based approach, which has been successfully applied in the Authorship Attribution problem. Thus, we proposed a variation of this tec...

In this paper, we present a lexical resource for preprocessing of texts published in social networks. It is developed for the following languages: English, Spanish, Dutch, and Italian. The resource contains dictionaries of slang words, abbreviations, contractions, and emoticons commonly used in social networks. The dictionaries were used for preprocessing of tweets obtained from the corpus for ...

This paper analyzes the increase in professionals in Brazil's Northeastern Region resulting from the Mais Médicos (More Doctors) Program. The scale of the increase was analyzed through the indicator Hospitalizations for Primary-Care Sensitive Conditions (HPSCs). The method used was a quantitative approach, based on data on distribution of doctors and service they provided in these states, and o...

XML (eXtensible Markup Language) has recently emerged as the most relevant standardization eort in the area of markup languages, and it is increasingly used as the language for information exchange over Web. In this context, developing an access control mechanism in terms of XML is an important step for Web information security. In this paper, we present Author-X , a Java-based system for acces...