Q3-D3-LSA
Year of publication: |
2016
|
---|---|
Authors: | Borke, Lukas ; Härdle, Wolfgang Karl |
Publisher: |
Berlin : Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk |
Subject: | QuantNet | D3 | GitHub API | text mining | document clustering | similarity | semantic web | generalized vector space model | LSA | visualization |
Series: | SFB 649 Discussion Paper ; 2016-049 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 875027504 [GVK] hdl:10419/148886 [Handle] RePEc:hum:wpaper:sfb649dp2016-049 [RePEc] |
Source: |
-
Borke, Lukas, (2016)
-
Application of latent semantic analysis in accounting research
Hutchison, Paul D., (2023)
-
Boushaki, Saida Ishak, (2018)
- More ...
-
FRM: A financial risk meter based on penalizing tail events occurrence
Yu, Lining, (2017)
-
GitHub API based QuantNet Mining infrastructure in R
Borke, Lukas, (2017)
-
Borke, Lukas, (2016)
- More ...