Giovanni Ciccone
Author Gender Profiling from texts and images in Twitter.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018
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Abstract
In this thesis I described the work done by me at INSA/LIRIS research center in Lyon during my ERASMUS exchange semester. I started my project in February 2018. Firstly, I worked on micro-blogging platforms information retrieval, specifically Twitter. The goal was the Event Detection by processing a corpus of tweets. For this purpose, I implemented a Python script for collecting real time tweets containing keywords specified as input parameters. I used that script for creating 2 different datasets: the first one formed by tweets collected during Italian political elections of the 4th March 2018, the second one containing tweets about the FA CUP football match between Tottenham and Rochdale played on the 28th February 2018.
On these 2 datasets I applied 2 different techniques for event detection having the aim of evaluating the goodness of results in comparison to events occurred during Italian elections and football match respectively.One month after the start of the project, my INSA/LIRIS supervisor proposed to me the possibility of taking part in the PAN-CLEF 2018 Author Profiling task 1
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