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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Juntao Hu",
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  "author": "Juntao Hu",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.1145/3343031.3350953",
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    "https://doi.org/10.1145/3343031.3350953",
            
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    "https://doi.org/10.48550/arXiv.2108.03531",
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    "https://doi.org/10.48550/arXiv.2108.03531",
            
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    "https://doi.org/10.48550/arXiv.2312.11572",
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    "https://doi.org/10.48550/arXiv.2312.11572",
            
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    "https://doi.org/10.48550/arXiv.2102.10176"
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    "https://doi.org/10.48550/arXiv.2102.10176"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "defined_in": "https://doi.org/10.48550/arXiv.1909.05352",
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  "defined_in": "https://doi.org/10.48550/arXiv.1909.05352",
            
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  "doi": "10.57702/jugqu39e",
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  "doi": "10.57702/jugqu39e",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Yuan Wu",
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      "extra_author": "Yuan Wu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "domain-adaptation",
            
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      "title": "Domain Adaptation"
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      "title": "Domain Adaptation"
            
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      "name": "multi-domain-text-classification",
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      "name": "multi-domain-text-classification",
            
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      "title": "Multi-domain text classification"
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      "title": "Multi-domain text classification"
            
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      "title": "Recommendation Systems"
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      "title": "Recommendation Systems"
            
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      "description": "",
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      "name": "sentiment-analysis",
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      "name": "sentiment-analysis",
            
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      "title": "Sentiment Analysis"
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      "title": "Sentiment Analysis"
            
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    },
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      "description": "",
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      "description": "",
            
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      "display_name": "Text Classification",
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      "display_name": "Text Classification",
            
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      "image_display_url": "",
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "title": "Text Classification"
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      "title": "Text Classification"
            
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    }
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    }
            
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  ],
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://www.amazon.com/",
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  "landing_page": "https://www.amazon.com/",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "metadata_created": "2024-12-02T18:08:21.523048",
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  "metadata_created": "2024-12-02T18:08:21.523048",
            
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  "metadata_modified": "2024-12-02T21:58:59.046816",
            
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  "name": "amazon-review-dataset",
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  "name": "amazon-review-dataset",
            
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  "notes": "The Amazon review dataset is used for multi-source domain 
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  "notes": "The Amazon review dataset is used for multi-source domain 
            
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adaptation. It contains review texts and ratings of bought products. 
75
adaptation. It contains review texts and ratings of bought products. 
            
76
Products are grouped into categories. Following [66, 51], we perform 
76
Products are grouped into categories. Following [66, 51], we perform 
            
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tf-idf transformation and select the top 1, 000 frequent words. 
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tf-idf transformation and select the top 1, 000 frequent words. 
            
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Ratings are used as the target labels.",
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Ratings are used as the target labels.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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  "relationships_as_object": [],
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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    },
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    },
            
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      "display_name": "Reviews",
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      "display_name": "Reviews",
            
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      "id": "5bfe020a-48b1-4723-aa38-bab9f297abf0",
            
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      "name": "Reviews",
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    },
            
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      "display_name": "Text classification",
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      "name": "text classification",
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      "state": "active",
230
      "state": "active",
            
190
      "vocabulary_id": null
231
      "vocabulary_id": null
            
191
    }
232
    }
            
192
  ],
233
  ],
            
193
  "title": "Amazon review dataset",
234
  "title": "Amazon review dataset",
            
194
  "type": "dataset",
235
  "type": "dataset",
            
195
  "version": ""
236
  "version": ""
            
196
}
237
}