大模型深度数据挖掘——文本摘要生成与商机智能识别研究
Deep Data Mining of Large Models--Research on Text Abstract Generation and Intelligent Business Opportunity Recognition
洪沛 1戴胜林 1仇国庆 1刘恒智 1马亮1
作者信息
- 1. 中国电信股份有限公司 安徽分公司,安徽 合肥 230001
- 折叠
摘要
该文探讨了如何运用大语言模型有效挖掘外呼数据和万号数据,针对两类语音转文本数据设计并实施定制化的NLP解决方案,提升业务洞察力,优化客户服务流程,并驱动潜在商机的精准识别与转化.
Abstract
This article explores how to effectively mine outbound call data and Wanhao data using big language models,design and implement customized NLP solutions for two types of speech to text data,enhance business insights,optimize customer service processes,and drive accurate identification and conversion of potential business opportunities.
关键词
大语言模型/NLP/文本摘要/商机挖掘Key words
big language model/NLP/text summary/business opportunity exploration引用本文复制引用
出版年
2024
NETL
NSTL
万方数据