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Named-Entity recognition engine for the extraction of trending topics

azienda 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 (giovanni.garifo@polito.it)

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

Notes When sending your application, we kindly aask you to attach the following information:

- list of exams taken in you master degree, with grades
- 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 12/01/2023      PROPONI LA TUA CANDIDATURA




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