Improvement of General Inquirer Features With Quantity Analysis
| dc.contributor.author | Karadeniz, Talha | |
| dc.contributor.author | Dogdu, Erdogan | |
| dc.date.accessioned | 2020-04-13T13:36:59Z | |
| dc.date.accessioned | 2025-09-18T16:08:36Z | |
| dc.date.available | 2020-04-13T13:36:59Z | |
| dc.date.available | 2025-09-18T16:08:36Z | |
| dc.date.issued | 2018 | |
| dc.description | Baidu; et al.; Expedia Group; IEEE; IEEE Computer Society; Squirrel AI Learning | en_US |
| dc.description.abstract | General Inquirer is a word-affect association vocabulary having 11896 entries. Ranging from rectitude to expressiveness, it comes with a flavor of categories. Despite the extensive content, a mapping from "To be or not to be." to "How much?" can be beneficial for word representation. In this work, we apply a method of window based analysis to obtain real valued General Inquirer attributes. Sentence Completion task is chosen to calculate the effectiveness of the operation. After whitening post-process, total cosine similarity convention is followed to concentrate on embedding improvement. Results indicate that our quantity focused variant is considerable. | en_US |
| dc.identifier.citation | Dogdu, Erdogan; Karadeniz, Talha, "Improvement of General Inquirer Features with Quantity Analysis", 2018 IEEE International Conference on Big Data (Big Data), pp. 2228-2231, (2018). | en_US |
| dc.identifier.doi | 10.1109/BigData.2018.8622369 | |
| dc.identifier.isbn | 9781538650356 | |
| dc.identifier.issn | 2639-1589 | |
| dc.identifier.scopus | 2-s2.0-85062601541 | |
| dc.identifier.uri | https://doi.org/10.1109/BigData.2018.8622369 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/15116 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | IEEE International Conference on Big Data (Big Data) -- DEC 10-13, 2018 -- Seattle, WA | en_US |
| dc.relation.ispartofseries | IEEE International Conference on Big Data | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Sentence Completion | en_US |
| dc.subject | Word Embedding | en_US |
| dc.title | Improvement of General Inquirer Features With Quantity Analysis | en_US |
| dc.title | Improvement of General Inquirer Features with Quantity Analysis | tr_TR |
| dc.type | Conference Object | en_US |
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| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Karadeniz, Talha; Dogdu, Erdogan] Cankaya Univ, Dept Comp Engn, TR-06790 Ankara, Turkey | en_US |
| gdc.description.endpage | 2231 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 2228 | en_US |
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| gdc.virtual.author | Karadeniz, Talha | |
| gdc.virtual.author | Doğdu, Erdoğan | |
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