Text Analytics and Natural Language Processing Using Graphs
Nowadays, a vast amount of information is available in the form of text in natural written language. The very book you are reading right now is one such example. The news you read every morning, the messages or Facebook posts you send or read, the reports you write for school assignments, and the emails you write are all examples of information that is exchanged via written documents and text. It is undoubtedly the most common way of indirect interaction, as opposed to direct interaction, such as talking or gesticulating. It is, therefore, crucial to utilize this kind of information and extract insights from documents and texts. This abundance of textual information has driven significant advancements in natural language processing (NLP). One notable development is ChatGPT, which provides sophisticated conversational capabilities. However, like many other NLP algorithms, ChatGPT is not natively designed to exploit inherent...
