Need mining
Needmining is a process for the automated identification of needs in innovation management . Using methods from natural language processing and machine learning , social media posts are analyzed and those that contain customer needs are identified. These are then processed and sent to the end user, e.g. B. an innovation manager available. This enables the needs of customers and potential customers to be recorded in a scalable and automatable manner. These can also be presented in a summarized and aggregated manner in order to e.g. B. Identify trends.
In contrast to existing methods of needs identification such as interviews, focus groups or surveys, the process can be largely automated and allows large amounts of data to be processed in real time.
Individual evidence
- ↑ Niklas Kuehl: Need Mining: Towards Analytical Support for Service Design . In: Exploring Services Science (= Lecture Notes in Business Information Processing ). Springer, Cham, 2016, ISBN 978-3-319-32688-7 , pp. 187-200 , doi : 10.1007 / 978-3-319-32689-4_14 ( springer.com [accessed May 15, 2018]).
- ^ Kuehl, Niklas, Scheurenbrand, Jan, Satzger, Gerhard: NEEDMINING: IDENTIFYING MICRO BLOG DATA CONTAINING CUSTOMER NEEDS . 2016 ( aisnet.org [accessed May 15, 2018]).
- ↑ Niklas Kühl, Marius Mühlthaler, Marc Goutier: Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach . In: Proceedings of the 51st Hawaii International Conference on System Sciences . Hawaii International Conference on System Sciences, 2018, ISBN 978-0-9981331-1-9 , doi : 10.24251 / HICSS.2018.258 ( hawaii.edu [accessed May 15, 2018]).
- ↑ KSRI at KIT: KSRI Research Stories: Needmining. May 16, 2017. Retrieved May 15, 2018 .