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Connecting firm's w...
Connecting firm's web scraped textual content to body of science : Utilizing microsoft academic graph hierarchical topic modeling
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- Hajikhani, Arash (författare)
- VTT Technical Research Center of Finland, Espoo
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- Pukelis, Lukas (författare)
- Public Policy and Management Institute
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- Suominen, Arho (författare)
- VTT Technical Research Center of Finland, Espoo
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- Ashouri, Sajad (författare)
- VTT Technical Research Center of Finland, Espoo
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- Schubert, Torben (författare)
- Lund University,Lunds universitet,CIRCLE,Institutionen för designvetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Design Sciences,Departments at LTH,Faculty of Engineering, LTH,Fraunhofer Institute for Systems and Innovation Research
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- Notten, Ad (författare)
- Maastricht University: School of Business and Economics
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- Cunningham, Scott W. (författare)
- University of Strathclyde
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- Engelska.
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Ingår i: MethodsX. - : Elsevier BV. - 2215-0161. ; 9
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper demonstrates a method to transform and link textual information scraped from companies' websites to the scientific body of knowledge. The method illustrates the benefit of Natural Language Processing (NLP) in creating links between established economic classification systems with novel and agile constructs that new data sources enable. Therefore, we experimented on the European classification of economic activities (known as NACE) on sectoral and company levels. We established a connection with Microsoft Academic Graph hierarchical topic modeling based on companies' website content. Central to the operationalization of our method are a web scraping process, NLP and a data transformation/linkage procedure. The method contains three main steps: data source identification, raw data retrieval, and data preparation and transformation. These steps are applied to two distinct data sources.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- A method for creating a linkage between web scraped company's websitecontent to scientific literature topical structure
- Economic classification scheme
- Knowledge transformation
- Natural language processing
- Web scraping
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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