In this project, I dive deep into the world of Natural Language Processing (NLP) using the Natural Language Toolkit (NLTK). My primary objective is to analyze a text document and extract meaningful insights by tokenizing text, performing part-of-speech tagging, and syntactic parsing.
Data Source: The text corpus is sourced from Prof. Dr. Marc Hellmuth of the University of Greifswald.
Key Project Objectives:
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Import Libraries: I start by importing essential libraries for text processing, including NLTK and custom functions for tokenization and chunk counting.
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Load Data: The text document from "Faust" by Goethe is loaded, converted to lowercase, and prepared for analysis.
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Tokenize Text: I tokenize the text into sentences and further split them into words, enabling granular analysis.
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Part-of-Speech Tagging: Each word in the text is tagged with its respective part of speech, providing linguistic context and structure to the text.
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Syntactic Parsing: I perform syntactic parsing by chunking sentences into noun phrases (NPs) and verb phrases (VPs) using predefined grammars.
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Visualize Chunks: To gain a visual understanding, I search for specific words, like "klug," and visualize sentences containing these words as trees, revealing their grammatical structure.
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Analyze Chunks: I analyze the most common NP-chunks and VP-chunks in the text. This analysis provides insights into the prominent characters, entities, and themes within the text.
Summary:
My journey through "Faust" by Goethe unveils fascinating aspects of the text. I discover the significance of characters like "Faust" and "Margarete" based on their frequent appearance as NP-chunks. Additionally, my analysis of VP-chunks sheds light on Goethe's unique writing style and the absence of conventional grammatical structures, contributing to a deeper understanding of the text's literary nuances. This code project exemplifies the power of NLP techniques in unraveling the intricacies of textual data.
Note: The code provided serves as an illustrative example and can be applied to a wide range of textual analyses.