oai:www.ldc.upenn.edu:LDC2020T14
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OLAC Record oai:www.ldc.upenn.edu:LDC2020T14 |
| Metadata | ||
| Title: | Speech Sentiment Annotations | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Chen, Eric Y., et al. Speech Sentiment Annotations LDC2020T14. Web Download. Philadelphia: Linguistic Data Consortium, 2020 | |
| Contributor: | Chen, Eric Y. | |
| Lu, Zhiyun | ||
| Xu, Hao | ||
| Cao, Liangliang | ||
| Zhang, Yu | ||
| Fan, James | ||
| Date (W3CDTF): | 2020 | |
| Date Issued (W3CDTF): | 2020-07-15 | |
| Description: | *Introduction* Speech Sentiment Annotations was developed by Google Inc. It consists of sentiment labels (positive, negative, neutral) for approximately 49,500 utterances covering 140 hours of audio from Switchboard-1 Release 2 (LDC97S62). Switchboard-1 Release 2 consists of approximately 260 hours of telephone speech from 543 speakers across the United States (302 male speakers, 241 female speakers). A computer-driven telephone collection platform paired two subjects for each conversation and provided a discussion topic. No two speakers conversed together more than once and no one speaker talked more than once on a given topic. *Data* Switchboard speech files were segmented based on the start and end time of transcript turns. Annotators listened to the audio corresponding to each segment (utterance) and classified each into positive, negative or neutral categories based on the emotion and attitude of the speaker. Annotators provided a justification for positive and negative classifications using a flow chart. Further information about the methodology and annotation process is contained in the documentation accompanying this release. The data is stored as a single UTF-8 encoded tab-delimited file. The annotation column in each row includes judgments from at least three annotators. *Samples* Please view the following sample (TXT). *Updates* None at this time. | |
| Extent: | Corpus size: 2290 KB | |
| Identifier: | LDC2020T14 | |
| https://catalog.ldc.upenn.edu/LDC2020T14 | ||
| ISBN: 1-58563-939-7 | ||
| ISLRN: 793-392-711-640-2 | ||
| DOI: 10.35111/HBK2-0H71 | ||
| Language: | English | |
| Language (ISO639): | eng | |
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2020T14 | |
| Rights Holder: | Portions © 1997, 2020 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2020T14 | |
| DateStamp: | 2021-01-01 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Chen, Eric Y.; Lu, Zhiyun; Xu, Hao; Cao, Liangliang; Zhang, Yu; Fan, James. 2020. Linguistic Data Consortium. | |
| Terms: | area_Europe country_GB dcmi_Text iso639_eng olac_primary_text | |