Sentiment compound data (DE)
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Datenbank Forschungsdaten |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
Universität
2019-09-05
|
| DOI: | 10.11588/data/LSTRK3 |
| Schlagworte: | |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.11588/data/LSTRK3 Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/LSTRK3 |
| Verfasserangaben: | Michael Wiegand, Christine Bocionek, Josef Ruppenhofer |
MARC
| LEADER | 00000cmi a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1679016962 | ||
| 003 | DE-627 | ||
| 005 | 20191106105932.0 | ||
| 006 | su| d|o |0 |0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191016c20199999xx |o | eng c | ||
| 024 | 7 | |a 10.11588/data/LSTRK3 |2 doi | |
| 035 | |a (DE-627)1679016962 | ||
| 035 | |a (DE-599)KXP1679016962 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Wiegand, Michael |d 1982- |e VerfasserIn |0 (DE-588)1011249111 |0 (DE-627)65806035X |0 (DE-576)341193550 |4 aut | |
| 245 | 1 | 0 | |a Sentiment compound data (DE) |c Michael Wiegand, Christine Bocionek, Josef Ruppenhofer |
| 264 | 1 | |a Heidelberg |b Universität |c 2019-09-05 | |
| 300 | |a 1 Online-Ressource (7 Files) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 336 | |a Computerdaten |b cod |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Kind of data: Textual data in tab-separated format | ||
| 500 | |a Deposit date: 2019-07-31 | ||
| 500 | |a Gesehen am 16.10.2019 | ||
| 520 | |a This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds. | ||
| 655 | 7 | |a Forschungsdaten |0 (DE-588)1098579690 |0 (DE-627)857755366 |0 (DE-576)469182156 |2 gnd-content | |
| 655 | 7 | |a Datenbank |0 (DE-588)4011119-2 |0 (DE-627)106354256 |0 (DE-576)208891943 |2 gnd-content | |
| 700 | 1 | |a Bocionek, Christine |e VerfasserIn |0 (DE-588)119718113X |0 (DE-627)1679017721 |4 aut | |
| 700 | 1 | |a Ruppenhofer, Josef |d 1971- |e VerfasserIn |0 (DE-588)132071037 |0 (DE-627)517466287 |0 (DE-576)298927993 |4 aut | |
| 787 | 0 | 8 | |i Forschungsdaten zu |a Wiegand, Michael, 1982 - |t Opinion holder and target extraction on opinion compounds |d 2016 |w (DE-627)1679018302 |
| 856 | 4 | 0 | |u https://doi.org/10.11588/data/LSTRK3 |x Verlag |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/LSTRK3 |x Verlag |z kostenfrei |3 Volltext |
| 951 | |a BO | ||
| 992 | |a 20191016 | ||
| 993 | |a ResearchData | ||
| 994 | |a 2019 | ||
| 998 | |g 1011249111 |a Wiegand, Michael |m 1011249111:Wiegand, Michael |p 1 |x j | ||
| 999 | |a KXP-PPN1679016962 |e 3523264375 | ||
| BIB | |a Y | ||
| JSO | |a {"name":{"displayForm":["Michael Wiegand, Christine Bocionek, Josef Ruppenhofer"]},"person":[{"role":"aut","roleDisplay":"VerfasserIn","display":"Wiegand, Michael","given":"Michael","family":"Wiegand"},{"display":"Bocionek, Christine","roleDisplay":"VerfasserIn","role":"aut","family":"Bocionek","given":"Christine"},{"role":"aut","display":"Ruppenhofer, Josef","roleDisplay":"VerfasserIn","given":"Josef","family":"Ruppenhofer"}],"title":[{"title_sort":"Sentiment compound data (DE)","title":"Sentiment compound data (DE)"}],"origin":[{"publisherPlace":"Heidelberg","dateIssuedDisp":"2019-09-05","publisher":"Universität","dateIssuedKey":"2019"}],"id":{"eki":["1679016962"],"doi":["10.11588/data/LSTRK3"]},"type":{"bibl":"dataset","media":"Online-Ressource"},"note":["Kind of data: Textual data in tab-separated format","Deposit date: 2019-07-31","Gesehen am 16.10.2019"],"physDesc":[{"extent":"1 Online-Ressource (7 Files)"}],"recId":"1679016962","language":["eng"]} | ||
| SRT | |a WIEGANDMICSENTIMENTC2019 | ||