How can Ants Extract the Essence Contents Satellite of Social Networks.

      Аннотация: Due to the increasing popularity of the information numerously via the internet, extracting the most important information in the form of abstract would be useful a number of users. This book firstly aims at granting an overall perspective on the state-of-the-art, describing the major concepts of different summarization approaches investigating several types of research that have been conducted in the domain of text, muti-document, and short text summarization. Particularly, it addresses the summarization techniques that have used PSO and ACO. The second motivation behind this work is the fact that users may interest to get an efficacious, powerful brief understanding of comments without reading the entire comments in the social media. This book opens up a new field of short text summarization predicated on a hybrid ant colony optimization coming with a mechanism of graph coloring and local search to produce an optimal or near-optimal summary. Initially, the graph coloring was employed to shrink the solution area of ants to small sets. The contrast comments are assembled together into the same color. Later ACO is employed to extract of the most interactive comments from each color.

Ключевые слова: ant colony optimization, graph coloring, short text summarization, social networks, swarm intelligence, Text Mining