Text Document Clustering Using the Hybrid Fruit Fly Optimization Algorithm

The Internet produces vast amounts of text data, expanding quickly. The abundance of text data in the unstructured format makes it difficult to extract and analyze the pertinent data. A text-mining technique called text document clustering separates text-based documents into completely independent groupings; consider likenesses between documents inside a group while simultaneously considering fluctuations in happiness between documents from various clusters. Partitioning the variety of text data by evaluating the practicality of the data in the documents is one of the issues tested in text clustering.