Text analysis pipelines: towards ad-hoc large-scale text mining
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2015]
|
| Schriftenreihe: | Lecture notes in computer science
9383 |
| Schlagworte: | |
| Beschreibung: | XX, 302 Seiten Illustrationen, Diagramme |
| ISBN: | 9783319257402 9783319257419 |
Internformat
MARC
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Datensatz im Suchindex
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| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | Wachsmuth, Henning Verfasser aut Text analysis pipelines towards ad-hoc large-scale text mining Henning Wachsmuth Cham Springer [2015] © 2015 XX, 302 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 9383 Dissertation Universität Paderborn 2015 (DE-588)4113937-9 Hochschulschrift gnd-content Lecture notes in computer science 9383 (DE-604)BV000000607 9383 |
| spellingShingle | Wachsmuth, Henning Text analysis pipelines towards ad-hoc large-scale text mining Lecture notes in computer science |
| subject_GND | (DE-588)4113937-9 |
| title | Text analysis pipelines towards ad-hoc large-scale text mining |
| title_auth | Text analysis pipelines towards ad-hoc large-scale text mining |
| title_exact_search | Text analysis pipelines towards ad-hoc large-scale text mining |
| title_full | Text analysis pipelines towards ad-hoc large-scale text mining Henning Wachsmuth |
| title_fullStr | Text analysis pipelines towards ad-hoc large-scale text mining Henning Wachsmuth |
| title_full_unstemmed | Text analysis pipelines towards ad-hoc large-scale text mining Henning Wachsmuth |
| title_short | Text analysis pipelines |
| title_sort | text analysis pipelines towards ad hoc large scale text mining |
| title_sub | towards ad-hoc large-scale text mining |
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