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A topic models based framework for detecting and forecasting emerging technologies

  • Published:2021-01 Issue: Volume:162 Page:120366
  • ISSN:0040-1625
  • Container-title:Technological Forecasting and Social Change
  • language:en
  • Short-container-title:Technological Forecasting and Social Change

Author:

Xu Shuo,Hao LiyuanORCID,Yang Guancan,Lu Kun,An Xin

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference87 articles.

1. Topic significance ranking of LDA generative models;AlSumait,2009

2. Topical analysis of scientific and technical reports based on topical n-grams model;An;Agric. Lib. Inf.,2019

3. A shared interest discovery model for co-author relationship in SNS;An;Int. J. Distribut. Sensor Netw.,2014

4. An introduction to MCMC for machine learning;Andrieu;Mach. Learn.,2003

5. Expert forecast and realized outcomes in technology foresight;Apreda;Technol. Forecast. Soc. Change,2019
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