three tuberculous, twenty-one non-tuberculous mycobacterial (ntm) reference strains and seventy two isolates classified by biochemical tests were shown to produce specific sets of dna fragments in a polymerase chain reaction with single universal primer (up-pcr). a rather wide limit of tolerance for variations in procedure of pcr mixture preparation and thermocycling parameters was found. there...

We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obtained better results when performing the data preprocessing using the developed lexical resource. The resource includes dictionaries of slang words...

the current youth market is characterized as tech-savvy, variety seekers who has been active in using digital technology in unprecedented ways. the market segment defined here comprises of youth adults between the ages 20 to 30, who are more comfortable with purchasing the smartphones than previous generation. there is fierce competition in smartphone market, due to the large selection of devic...

The rapid expansion of blog and electronic data in Web 2.0 is abounding and thus it is becoming important to identify the author‟s profile also. The problems of automatic identification of author‟s gender and age based on linguistic and stylistic pattern have been a subject of increasingly research interest in the recent years. The research methodologies are also helpful for several other appli...

This technical notebook describes the methodology used – and results achieved – for the PAN 2015 Author Profiling Challenge by the team from Xerox Research Centre Europe (XRCE). This year, personality traits are introduced alongside age and gender in a corpus of tweets in four languages – English, Spanish, Italian and Dutch. We describe a largely language agnostic methodology for classification...

This paper presents our approach and results for the 2017 PAN Author Profiling Shared Task. Language-specific corpora were provided for four langauges: Spanish, English, Portuguese, and Arabic. Each corpus consisted of tweets authored by a number of Twitter users labeled with their gender and the specific variant of their language which was used in the documents (e.g. Brazilian or European Port...

We describe the method of Author Profiling task. The task deals with study of profile aspects like gender and language variety. We explore an approach of using high-order char n-grams as features and logistic regression as a classifier for all subtasks. This approach appears to be simple and effective for the task. We also investigated feature importances and low-dimensional embeddings of the d...