Abstract

Summarization is a brief and accurate representation of input text such that the output covers the most important concepts of the source in a condensed manner. Text Summarization is an emerging technique for understanding the main purpose of any kind of documents. To visualize a large text document within a short duration and small visible area like PDA screen, summarization provides a greater flexibility and convenience. This paper presents innovative unsupervised methods for automatic sentence extraction using graph-based ranking algorithms and shortest path algorithm.

Keywords:
Automatic summarization Computer science Text graph Graph Sentence Multi-document summarization Information retrieval Flexibility (engineering) Representation (politics) Ranking (information retrieval) Artificial intelligence Path (computing) Natural language processing Algorithm Theoretical computer science Data mining Mathematics

Metrics

86
Cited By
2.81
FWCI (Field Weighted Citation Impact)
14
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
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