Analyzing Textual Documents Indexes by Applying Key-Phrases Extraction in Fuzzy Logic Domain Based on A Graphical Indexing Methodology

Identifying and retrieving key phrases from a given corpus of textual documents is one of the fundamental problems of natural language processing, it is a vital subtask in the text summarization and comparison domain; through which we can obtain the most relevant set of phrases that approximately describe the content of a given document. In our manuscript, our principal objective will be introducing the approach of fuzzy-logic in the key phrase's indexing domain by proposing a new fuzzy logic-based methodology which evaluates the generated key phrases. We conduct a thorough empirical study of this methodology on a new textual document's corpus by identifying the degree of relevance of a key phrase linked to another one whether it is in the same corpus of textual documents or in two further fully distinct textual documents in the identical corpus.