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This thesis presents a novel approach to extract metadata and analyze plays sourced from Project Gutenberg using a web application. The developed web application offers a wide range of functionalities and analytics, allowing users to search and select plays from the extensive Project Gutenberg collection and preview them in raw text or rendered HTML formats. It also gives the ability to create and apply custom CSS rules or select from a dynamically generated list of CSS selectors to customize the visual presentation. The application generates a final table view displaying the act, role, dialog content and sentiment analysis for each entry. Users can filter the displayed data based on their preferences, modify sentiment, edit textual content and store the analyzed text in the database. Moreover, previously analyzed plays can be conveniently retrieved for future reference, ensuring seamless access to previous analyses and facilitating continuity in the analysis process. The app also offers analytics for the selected play, including roles, the number of dialogs and the number of words per entry. Sentiment analysis is conducted at the dialog, act, character and timeline levels, enabling users to track changes in sentiment throughout the play. Additionally, users can create and manage personalized reading lists, providing flexibility in organizing their selections. This web application contributes to the field of literature analysis by providing comprehensive tools and analytics, empowering users to gain a deeper understanding of the selected plays and enhancing their engagement.