Named-Entity recognition engine for the extraction of trending topics
Thesis in external company
keywords MACHINE LEARNING, NATURAL LANGUAGE PROCESSING, RECOMMENDER SYSTEMS, SEMANTIC TECHNOLOGIES, SEMANTIC WEB
Reference persons ANTONIO VETRO'
External reference persons Giovanni Garifo (firstname.lastname@example.org)
Research Groups DAUIN - GR-22 - Nexa Center for Internet & Society - NEXA
Thesis type SOFTWARE DEVELOPMENT, START UP
Description In collaboration with Column S.r.l. ( www.column.news ), the goal of the thesis is to develop a prototypal named-entity recognition engine aimed at the identification of trending topics in both news and social media that could be used for empowering user recommendations. It will imply recognizing the occurrence of major events by analyzing the media coverage, in order to build content recommendations.
See also www.column.news
Required skills The thesis requires very good development skills and knowledge of fundamental NLP and ML techniques. Grade point average equal to or higher than 26 can play a relevant role in the selection.
Notes When sending your application, we kindly ask you to attach the following information:
- list of exams taken in you master degree, with grades and grade point average
- a résumé or equivalent (e.g., linkedin profile), if you already have one
- by when you aim to graduate and an estimate of the time you can devote to the thesis in a typical week
Deadline 30/11/2023 PROPONI LA TUA CANDIDATURA