Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “This work presents an analysis of ideological and affective polarisation in the Spanish parliament from the year 2000 until 2022 using Natural Language Process ing (NLP) techniques. Parliamentary records were harvested, pre-processed, and a nalyzed using document embeddings to assess ideological polarisation and sentiment analysis with VADER and Transformer models for affective polarisation.
NETL
NSTL