This study focuses on the representation of the LGBTQ+ community in the Turkish media, i.e., news articles. To conduct this study, a comprehensive Turkish news articles dataset, which contains 42 thousand news articles, was sourced from Kaggle. Then, two distinct sentiment analysis models were utilized to analyze and classify the sentences from the articles that contained keywords related to the LGBTQ+ community. The results were gathered and visualized using the ggplot2 package. This R Markdown document offers comprehensive findings and sheds light on the sentiment expressed in the news articles.

This study focuses on the representation of the LGBTQ+ community in the Turkish media, i.e., news articles. To conduct this study, a comprehensive Turkish news articles dataset, which contains 42 thousand news articles, was sourced from Kaggle. Then, two distinct sentiment analysis models were utilized to analyze and classify the sentences from the articles that contained keywords related to the LGBTQ+ community. The results were gathered and visualized using the ggplot2 package. This R Markdown document offers comprehensive findings and sheds light on the sentiment expressed in the news articles.

The data, which was gathered from the US Census, was analyzed and visualized in this assignment. The focus of this R Notebook is to provide insight to the reader about the Languages Spoken at Home in Passaic, NJ (2015).

The data, which was gathered from the US Census, was analyzed and visualized in this assignment. The focus of this R Notebook is to provide insight to the reader about the Languages Spoken at Home in Passaic, NJ (2015).