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(PDF) MMI Diversity Based Text Summarization
Swarm diversity-based method (Binwahlan, Salim, & Suanmali, 2010) is an integration of the two methods MMI (Maximal Marginal Importance) diversity-based text summarization (Binwahlan, Salim ...
Swarm Diversity Based Text Summarization | SpringerLink
The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the advantages of different techniques in form of an integrated model could produce a good summary for the original document.
Fuzzy swarm diversity hybrid model for text summarization ...
Swarm diversity-based method (Binwahlan, Salim, & Suanmali, 2009e) as shown in Fig. 3 is an integration of the two methods presented in the previous sections (MMI Diversity-based Text Summarization and Swarm-based Text Summarization). In MMI method, the score of the sentence in the binary tree is calculated using Eq. ....
 Integrating of the Diversity and Swarm Based Methods for ...
Summarization [25] and Swarm Based Text Summarization [26], Figure 1. 2.1 MMI diversity based Text Summarization MMI (maximal marginal importance) [25], it is a text summarization diversity based method for summary generation. It depends on the extraction of the highest important sentences from the original text....
Fuzzy evolutionary cellular learning automata model for ...
FSDH : This work proposes a fuzzy swarm diversity hybrid model for text summarization. It combines three methods: (i) MMI diversity, (ii) swarm diversity based method, and (iii) fuzzy swarm based method. • FEOM : In this work, a model is proposed based on fuzzy evolutionary optimization which performs document clustering. The sentences with ......
10.1016/j.eswa.2012.04.067 | 10.1016/j.eswa ... - DeepDyve
Swarm diversity-based method ( Binwahlan, Salim, & Suanmali, 2010 ) is an integration of the two methods MMI (Maximal Marginal Importance) diversity-based text summarization ( Binwahlan, Salim, & Suanmali, 2009 ) and swarm-based text summarization. Currently, the most widely used summarization methods are clustering based....
Electronics | Free Full-Text | Incorporating External ...
In addition to the graph-based algorithms, unsupervised text cluster methods such as K-means and K-medoids are also used in document summarization tasks, and the sentences selected by these methods are independent of each other. In this paper, both the popular Textrank graph model and the K-means cluster algorithm are used in our approach.
A Nodes' Evolution Diversity Inspired Method to Detect ...
This research focuses on graph-based methods and proposes a universal method for generalized social networks. Different from the existing graph-based methods that summarize a number of structural features, the proposed nodes' evolution diversity inspired method ( NEDM ) detects anomalies in dynamic social networks from the perspective of ...
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