NLP Based Automated Business Report Summarization

Faizal B, Sajimon Abraham
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Abstract

A business report usually contains customer feedback, analysis, findings and recommendations for future implementation for the improvement in the specified business. Automated text summarization of business reports will help the analysis team to enhance the building of the business proposal model. The business report summarization is quite different from generic text summarization as it conveys most of the data through tables, graphs and images. Several text summarization methods can be considered for generating the summary of a business report. This paper provides a comprehensive study on different approaches that can be considered for business report summarization and the latest evaluation methods. Moreover, it discusses some future research directions in the field of business text summarization using a combination of natural language processing with statistics and deep learning.
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基于NLP的自动业务报告摘要
业务报告通常包含客户反馈、分析、发现和建议,以便将来在特定业务中实现改进。业务报告的自动文本摘要将帮助分析团队增强业务提案模型的构建。商业报告摘要与一般的文本摘要有很大的不同,因为它通过表格、图表和图像来传达大部分数据。可以考虑几种文本摘要方法来生成业务报告的摘要。本文全面研究了商业报告总结可以考虑的不同方法和最新的评估方法。最后,探讨了自然语言处理与统计学、深度学习相结合的商业文本摘要研究方向。
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