Who: Corrado Monti, post-doc candidate
Title: Semantic networks: applications and modelling
Abstract:
Semantic networks are one of the most valuable tools in today's NLP.
They power the intelligence behind conversational interfaces, help
search engines answer queries, and are one the most used ways to
represent the knowledge present in natural language. In this talk, I
will present some of my work related to them.
Firstly, we will see an example of a simple use case for semantic
networks within opinion mining. I will show how we used them to
build a model able to detect political disaffection in Twitter
messages in Italian language. Semantic networks here helped, e.g.,
in distinguishing general political disaffection from a sentiment
against a specific political party. We applied this model to 35
millions tweets, and – in order to validate the quality of the
generated time-series – we compared our results to opinion surveys.
Secondly, I will illustrate a theoretical model for semantic
networks. In a semantic network, each node is usually tagged with
different categories. How does the presence or absence of such
categories interplay with the network link structure? I will present
a model that is able to describe complex interactions between
categories and links, while at the same time being simple enough to
derive scalable algorithms. Finally, I will show a practical
application for this model on semantic networks, presenting an
algorithm to mine surprising links.
When: Thursday, 29th of March 2018, 10:15-10:45
Where: Manno, Galleria 1, room G1-204