Nestor Alvaro (Data Scientist at Deloitte Digital, Spain)
Detecting news of interest based on their political actions

Date: April 8, 2019 (Monday)
Time: 15:00 - 17:00 (Japan Time)
Venue: UTokyo, Komaba Campus, Building 2, Room 303
Language: English

Having a list of political actions of interest poses a challenge as we need to extract the information regarding those actions from different sources. In this workshop, we will see two different approaches for applying text mining to a large news corpus aiming at extracting the set of news containing those political actions. We will start with a basic approach, and then compare these results against a more advanced approach using NLP - Natural Language Processing - . This workshop will also present the results obtained by these two different strategies, also assessing venues for improvement.

Nestor Alvaro is a Data Scientist at Deloitte Digital researching on machine learning (ML) and natural language processing (NLP).

*Supported by JSPS KAKENHI, Project/Area Number 15KT0040  (Takeshi Wada, The University of Tokyo)