Abstract
The sample was derived from from the ADM 2015 event (American Diaspora Marketplace). The US Federal Government undertakes a yearly business competition with the aim to enhance entrepreneurship in Africa. We conducted a feasibility study to test electronic text mining in the field of entrepreneurship
research. Text Mining is useful for extracting high-quality information from text by devising patterns and trends. We created 3 types of representations: A) Dendrogram, B) Word cloud of most used words (here one document only),
and C) bar chart of words with highest semantic significance (here one document only). Tre results show that electronic textmining is a useful tool, however methods for unsupervised text analysis can be difficult to interpret.
research. Text Mining is useful for extracting high-quality information from text by devising patterns and trends. We created 3 types of representations: A) Dendrogram, B) Word cloud of most used words (here one document only),
and C) bar chart of words with highest semantic significance (here one document only). Tre results show that electronic textmining is a useful tool, however methods for unsupervised text analysis can be difficult to interpret.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 14 dec. 2017 |
| Antal sider | 1 |
| Status | Udgivet - 14 dec. 2017 |
| Begivenhed | EIBA 2017 Milan Conference : International Business in the Information Age - School of Management/ Politecnico di Milano, Milano, Italien Varighed: 14 dec. 2017 → 16 dec. 2017 http://www.eiba2017.polimi.it/ |
Konference
| Konference | EIBA 2017 Milan Conference |
|---|---|
| Lokation | School of Management/ Politecnico di Milano |
| Land/Område | Italien |
| By | Milano |
| Periode | 14/12/2017 → 16/12/2017 |
| Internetadresse |