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A method for Automatic Text Summarization using Consensus of Multiple Similarity Measures and Ranking Techniques

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Figure

Figure 2.  Zipf’s Law dictates that words having rank (based on frequency) between the upper and lower cut-offs are most significant
Figure  6. One of the possible clustering patterns by application of the ranking algorithm on seven sentences

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