This paper describes and evaluates an effective author profiling model called SPATIUM-L1. The suggested strategy can be adapted without any problem to different languages (such as Dutch, English, Italian, and Spanish) in Twitter tweets. As features, we suggest using the 200 most frequent terms of the query text (isolated words and punctuation symbols). Applying a simple distance measure and loo...

Author profiling is the task of determining the attributes for a set of authors. This paper presents the design, approach, and results of our submission to the PAN 2015 Author Profiling Shared Task. Four corpora, each in a different language, were provided. Each corpus consisted of collections of tweets for a number of Twitter users whose gender, age and personality scores are know. The task wa...

This paper describes an approach for the author profiling task of the PAN 2013 challenge. This work is based on the idea of linguistic modality that has been successfully used in other classification tasks such as authorship attribution. We consider three different modalities: syntactic, stylistic, and semantic, each representing a different aspect of text. For each modality, we extract informa...

Currently available online profiling platforms offer various services for researchers and authors. Opening an individual account and filling it with scholarly contents increase visibility of research output and boost its impact. This article overviews some of the widely used and emerging profiling platforms, highlighting their tools for sharing scholarly items, crediting individuals, and facili...

In this paper, we present the participation of the Laboratoire Informatique d’Avignon (LIA) to RepLab 2014 edition [2]. RepLab is an evaluation campaign for Online Reputation Management Systems. LIA has produced an important number of experiments for every tasks of the campaign: Reputation Dimensions and both Author Categorization and Author Ranking sub-tasks from Author Profiling. Our approach...

Author profiling is the task to infer some information about an author by analyzing her/his writing style. It’s application in forensics, business intelligence and psychology makes this topic interesting for researching. In this notebook, we present our baseline approach using SVM and Linear Discriminant Analysis (LDA) classifiers. We analyze features obtained from LIWC dictionaries, these are ...

The paper presents an approach to predict personality traits of a writer for the author profiling task of the PAN CLEF 2015. The task aimed at predicting authors’ demographics based on the written tweets of an author. These demographics included traditional authorship attributes of age, gender and various personality traits of an author. We applied topic modeling using LDA as baseline approach ...

In this paper, we present our approach to author ranking subtask; which is a part of author-profiling task in RepLab 2014. In this subtask, systems are expected to detect influential authors and opinion makers on Twitter website. The systems’ output, for a given domain, must be a ranked list of authors according to their probability of being an influential author or opinion maker. Our system ut...