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Text Compactor: Techniques, Applications, and Future Prospects
The exponential growth of digital text data has made text summarization an essential tool in various natural language processing applications. Text compaction, a subset of text summarization, is a process that aims to generate concise and coherent summaries while preserving the main information from the source text. In this research paper, we explore different techniques used in text compaction, their applications in the real world, and the potential for future development and improvements.
Keywords
Tokenization, Agorithm process
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