Comparative analysis of the government plans of the Peruvian presidential candidates, SDO(UN) and State Policies of the National Agreement based on NLP
Honorio Apaza Alanoca, Josimar Chire, Jimy Oblitas

TL;DR
This paper employs NLP and text mining to analyze and visualize Peruvian presidential candidates' government proposals, comparing them with UN's sustainable development goals to facilitate informed decision-making.
Contribution
It introduces a method for analyzing political proposals using NLP and visualizations, and compares these proposals with UN SDGs for the first time in this context.
Findings
Effective visualization of political proposals.
Comparison with UN SDGs highlights alignment and gaps.
Provides a tool for easier political analysis.
Abstract
The analysis of government proposal during elections from political parties is vital to choose the next authorities in any city or country. In this paper, we use a text mining approach to analyze the documents and provide an easy visualization to support an easy analysis. Besides, a comparison with a national plan based on sustainable development objectives of UN(United Nations) from 2030 Agenda is perfomed using Natural Language techniques.
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Taxonomy
TopicsSentiment Analysis and Opinion Mining
