Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Academic project for Advances in Data Science and Architecture course

Master's Project

What's the most positive or negative religion? . Sentiment and Data Analysis of Holy Books with R. Analysis of religious dogmas by exploring their Holy Books (The Bible, The Quran, The Dhammapada, and The Book of Mormon) with R

In this project, we analyze the past criminal record data of Ireland generated by the Gardaí. We attempt to map this data with some key metrics such as population of different divisions, unemployment rates and depression levels to analyze the relation between crime types and criminal intense areas.

Shiny app that performs a real time Sentiment Analysis on the COVID-19 related tweets of users in Italy.

In this project, we are performing sentimental analysis on the characters of Harry Potter book 2 to understand the sentiments of the characters and their relationships with other characters. Our main focus will be on the three leads "Harry", "Hermione", "Ron" journey over the book, How their sentiments change as we move ahead in the book.

Social Networks FER Lab

Análisis de sentimientos y emociones básicas de las novelas de Jane Austen

딥러닝 기반 환경이슈 감성분류기 개발 : 기후변화 중심으로

résumé automatique de texte oriente vers la prévention, l’éradication et détection des maladies ravageuses déclenchées sur les réseaux sociaux (twitter) cas de l’ebola , meningite et malaria

Text and sentiment analysis of the novel My Ántonia (1918) by Willa Cather

This project gathers the twitter data for Orlando International Airport, applies sentiment analysis to each tweet and scores each tweet against the text and emoji data . The final result is a quantified score for each tweet of Orlando International Airport