Abstract
Strategic planning is a practical approach for researchers to conduct the STEEP analysis. One of the most promising approaches for strategic planning is the Foresight Framework. In the very first steps of Foresight Framework, however, the environmental scanning is involved. This process is time-consumed since a very large amount of data must be explored. To alleviate the time in such a process, this study proposes a design and an implementation of the forecast sentence extractor by using natural language processing and machine learning algorithm. The proposed algorithm digests a long article and then provides a short list of forecast sentences. Three feature selection approaches are tested. From the experimental studies, the accuracy of the proposed algorithm is up to 85.10%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Voros, A generic foresight process framework. Foresight 5(3), 10–21 (2003)
O. Helmer-Hirschberg, Analysis of the Future: The Delphi Method, CA (1967), https://www.rand.org/pubs/papers/P3558.html. Accessed 01 Nov 2018
Managing Business at Speed of Change. Thai Productivity Institue (2018), https://www.ftpi.or.th/download/seminar-file/Speed-of-Change_E0B8AAE0B896E0B8B2E0B89AE0B8B1E0B899E0B980E0B89EE0B8B4E0B988E0B8A1.pdf. Accessed 22 Apr 2018
J. Voros, Foresight Primer—Thinking Futures, Thinking Futures (2001), https://thinkingfutures.net/foresight-primer. Accessed 17 May 2018
B. Cooley, Why can’t my passenger enter car GPS navigation? Cars increasingly want us to use voice while driving, Roadshow by CNET (2018), https://www.cnet.com/roadshow/news/why-cant-my-passenger-enter-car-gps-navigation/. Accessed 01 Apr 2019
IoT in Healthcare Market Worth $534.3 Billion By 2025|CAGR: 19.9%, Grandviewresearch.com (2019), https://www.grandviewresearch.com/press-release/global-iot-in-healthcare-market. Accessed 01 Apr 2019
The Stanford Natural Language Processing Group, https://nlp.stanford.edu/. Accessed 12 May 2018
Natural Language Toolkit, http://www.nltk.org/. Accessed 12 May 2018
LUIS (Language Understanding)—Cognitive Services—Microsoft Azure, luis.ai, https://www.luis.ai/home. Accessed 12 May 2018
Intellexer—Text Mining Solutions for Everyone, http://www.intellexer.com/. Accessed 12 May 2018
E. Frank, M.A. Hall, I.H. Witten (2016). The WEKA Workbench. Online Appendix for Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. (Morgan Kaufmann, 2016)
I. Mierswa, R. Klinkenberg, RapidMiner Studio (2018), https://rapidminer.com/. Accessed 12 May 2018
Microsoft Azure Cognitive Services (2018), https://azure.microsoft.com/en-us/services/cognitive-services/. Accessed 12 May 2018
Google Cloud AutoML Natural Language|AutoML Natural Language|Google Cloud. Google Cloud (2019), https://cloud.google.com/natural-language/automl/docs/. Accessed 10 Mar 2019
D. Lyubimov, A. Palumbo, Apache Mahout: Beyond MapReduce (2016), https://dl.acm.org/citation.cfm?id=3019198. Accessed 17 May 2018
M. Zaharia, R.S. Xin, P. Wendell, T. Das, M. Armbrust, A. Dave, X. Meng, J. Rosen, S. Venkataraman, M.J. Franklin, A. Ghodsi, J. Gonzalez, S. Shenker, I. Stoica, Apache Spark: a unified engine for big data processing. Commun. ACM 59(11), 56–65 (2016). https://doi.org/10.1145/2934664
Apache Hadoop, hadoop.apache.org (2019), https://hadoop.apache.org/. Accessed 12 May 2018
Penn Treebank P.O.S. Tags, Department of Linguistics, University of Pennsylvania (2019), https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html. [Accessed: 12- May- 2018]
Harvard Business Review—Ideas and Advice for Leaders, hbr.org, https://hbr.org/. Accessed 20 Feb 2019
Shaping Tomorrow, Shaping Tomorrow, https://shapingtomorrow.com/home. Accessed 20 Feb 2019
World Economic Forum, World Economic Forum (2019), https://www.weforum.org. Accessed 20 Feb 2019
Foresight, Center of Excellence for Foresight (2019), http://fis.ftpi.or.th/. Accessed 20 Feb 2019
Acknowledgements
The authors aspire to thank Mr. Tossapol Ramingwong and his team from Thailand Productivity Institute (FTPI), Thailand, for providing Foresight Framework concept and requirement as well as Dr. Sumavasee Salasuk and her team from Digital Economy Promotion Agency (DEPA), Thailand, for delineating Foresight Framework requirement in DEPA point of view. Special thanks go to Mr. Suchart Imbunchon, Mr. Kampon Hannaruechai, Mr. Mahaysak Kanignant, Mr. Khantipong Damkham, and development team at AI Lab, Betimes Solution Co., Ltd. for helping in requirement analysis, data acquisition, and cleansing processes, as well as project funding. Last, but not least, the authors want to thank all faculty members in the Department of Computer Engineering and Artificial Intelligence, UTCC, for providing challenging comments and creative discussion.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Srichareon, B., Manitpornsut, S., Pongdamrong, P. (2020). A Design and an Implementation of Forecast Sentence Extractor. In: Jain, L., Tsihrintzis, G., Balas, V., Sharma, D. (eds) Data Communication and Networks. Advances in Intelligent Systems and Computing, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-15-0132-6_18
Download citation
DOI: https://doi.org/10.1007/978-981-15-0132-6_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0131-9
Online ISBN: 978-981-15-0132-6
eBook Packages: EngineeringEngineering (R0)