The document discusses aspect-level sentiment analysis on hotel reviews. It describes extracting sentiments on specific aspects or entities mentioned in documents, like reviews. It uses Python tools like scrapy and NLTK to preprocess reviews, identify aspects in sentences, and determine sentiment scores for each aspect using a sentiment analysis algorithm. The goal is to analyze different aspects of reviews and summarize sentiment values to understand customer feedback.