SENTIMENT ANALYSIS OF LATEST NEWS FROM QALAMPIR.UZ (FEBRUARY-MARCH)

This study presents a sentiment analysis of news articles manually extracted from the English-language section of the Qalampir.uz website, covering the period from February to March. By applying natural language processing techniques, the study classifies the sentiment of news headlines into three categories: positive, negative, and neutral. The findings indicate that the majority of news content is neutral, with a notable presence of both positive and negative news items. These results provide insights into the tone and focus of recent media coverage in Uzbekistan and contribute to the broader field of computational journalism (Pang & Lee, 2008).