Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity
It addresses the problem of document search for researchers and practitioners by summarizing incremental advancements in applying swarm computing to semantic similarity tasks.
This survey reviews the latest developments in using Swarm Intelligence algorithms to search for documents based on semantic similarity, and it recommends future research directions.
Swarm Intelligence (SI) is gaining a lot of popularity in artificial intelligence, where the natural behavior of animals and insects is observed and translated into computer algorithms called swarm computing to solve real-world problems. Due to their effectiveness, they are applied in solving various computer optimization problems. This survey will review all the latest developments in Searching for documents based on semantic similarity using Swarm Intelligence algorithms and recommend future research directions.