Stanford Parser and OpenNLP in Analyzing the Literary Text "The Alchemist" by Paulo Coelho

• Published in: 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) pp. 1 - 8
• Main Authors: Vinodini, S, Avinash, M
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.05.2023
• Subjects: Linguistics; Literary text analysis; Manuals; Natural language processing; OpenNLP; Sentiment analysis; Stanford Parser; Tagging; Text categorization; The Alchemist; Writing
• DOI: 10.1109/ACCAI58221.2023.10201121

Natural Language Processing (NLP) tools have gained considerable attention in recent years due to their ability to analyze and understand human language. In this study, we explore the effectiveness of using two popular NLP tools, Stanford Parser and OpenNLP, in analyzing 50 statements from the novel "The Alchemist" by Paulo Coelho. The statements were analyzed using three NLP techniques: tokenization, part-of-speech tagging, and dependency parsing. Tokenization is the process of dividing a text into individual tokens, or words. Part-of-speech tagging is the process of assigning a grammatical category, such as noun or verb, to each word. Dependency parsing is the process of identifying the grammatical relationships between words in a sentence, such as subject-verb-object. The study aims to demonstrate the effectiveness of using NLP tools such as Stanford Parser and OpenNLP in analyzing literary texts, particularly in identifying the grammatical structure and relationships between words in a sentence. These tools can provide valuable insights into the text that may not be immediately apparent through manual analysis alone. Furthermore, the study highlights the need for careful consideration when selecting an NLP tool, as different tools may excel in different tasks depending on the nature of the text being analyzed. The analysis of literary texts using NLP tools has several applications, including literary analysis, sentiment analysis, and authorship attribution. By analyzing the grammatical structure of a text, NLP tools can help to identify the author's writing style, the tone of the text, and the author's use of literary devices. Additionally, NLP tools can be used to analyze the sentiment of a text, identifying positive or negative emotions expressed in the language.