Changes
On December 16, 2024 at 7:57:45 PM UTC,
admin:
-
Changed title to Twitter Dataset (previously Twitter dataset)
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Set author of Twitter Dataset to Manirupa Das (previously Wenjin Xie)
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Updated description of Twitter Dataset from
The dataset used in the paper is a large-scale graph dataset, consisting of users and shows with multi-attribute edges. The graph is constructed by selecting user IDs and side information combinations of shows as nodes, and click/co-click relations and view time as edges.
toThe Twitter Dataset is a collection of tweets annotated with Plutchik's emotions, consisting of tweets in three different languages: English, Dutch, and German.
-
Removed the following tags from Twitter Dataset
- Hashtags
- Twitter Data
- English language
- toxicity detection
- hate speech detection
- multivariate
- various types of links
- emotion detection
- Microblogging
- malicious spelling correction
- Twitter sentiment analysis
- Influence Maximization
- Retweets
- Clustering
- sexism detection
- Twitter dataset
- Information Diffusion
- Information Spread
- Social Network
- GAN pre-training
- Cascade Prediction
- Politics
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Added the following tags to Twitter Dataset
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Changed value of field
defined_in
tohttps://doi.org/10.1109/TSP.2017.2739100
in Twitter Dataset -
Changed value of field
landing_page
tohttps://arxiv.org/abs/1806.03445
in Twitter Dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.1508.05817', 'https://doi.org/10.48550/arXiv.2001.01818', 'https://doi.org/10.48550/arXiv.1412.4682', 'https://doi.org/10.48550/arXiv.1411.2679', 'https://doi.org/10.1145/3463944.3469270', 'https://doi.org/10.48550/arXiv.1606.00868', 'https://doi.org/10.48550/arXiv.1801.06482', 'https://doi.org/10.1609/icwsm.v17i1.22135', 'https://doi.org/10.17608/k6.auckland.9869252.v2', 'https://doi.org/10.48550/arXiv.1910.11399']
in Twitter Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Renhao Cui', 'orcid': ''}]
in Twitter Dataset -
Deleted resource Original Metadata from Twitter Dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Wenjin Xie", | n | 3 | "author": "Manirupa Das", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| n | 6 | "https://doi.org/10.1109/CSCWD54268.2022.9776071", | n | 6 | "https://doi.org/10.48550/arXiv.1508.05817", |
| 7 | "https://doi.org/10.1145/2872518.2890562", | 7 | "https://doi.org/10.48550/arXiv.2001.01818", | ||
| 8 | "https://doi.org/10.48550/arXiv.1412.4682", | ||||
| 9 | "https://doi.org/10.48550/arXiv.1411.2679", | ||||
| 10 | "https://doi.org/10.1145/3463944.3469270", | ||||
| 11 | "https://doi.org/10.48550/arXiv.1606.00868", | ||||
| 8 | "https://doi.org/10.48550/arXiv.1901.07688", | 12 | "https://doi.org/10.48550/arXiv.1801.06482", | ||
| 9 | "https://doi.org/10.7717/peerj-cs.26", | 13 | "https://doi.org/10.1609/icwsm.v17i1.22135", | ||
| 14 | "https://doi.org/10.17608/k6.auckland.9869252.v2", | ||||
| 10 | "https://doi.org/10.48550/arXiv.2305.13088", | 15 | "https://doi.org/10.48550/arXiv.1910.11399" | ||
| 11 | "https://doi.org/10.48550/arXiv.2210.10662", | ||||
| 12 | "https://doi.org/10.48550/arXiv.2209.07065", | ||||
| 13 | "https://doi.org/10.1007/978-3-030-86523-8_7", | ||||
| 14 | "https://doi.org/10.48550/arXiv.1801.07150", | ||||
| 15 | "https://doi.org/10.1109/AECT47998.2020.9194186", | ||||
| 16 | "https://doi.org/10.1145/3544548.3581402", | ||||
| 17 | "https://doi.org/10.48550/arXiv.2304.05474" | ||||
| 18 | ], | 16 | ], | ||
| 19 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| n | 20 | "defined_in": "https://doi.org/10.48550/arXiv.1902.06818", | n | 18 | "defined_in": "https://doi.org/10.1109/TSP.2017.2739100", |
| 21 | "doi": "10.57702/u3h3zf0u", | 19 | "doi": "10.57702/u3h3zf0u", | ||
| 22 | "doi_date_published": "2024-12-16", | 20 | "doi_date_published": "2024-12-16", | ||
| 23 | "doi_publisher": "TIB", | 21 | "doi_publisher": "TIB", | ||
| 24 | "doi_status": true, | 22 | "doi_status": true, | ||
| 25 | "domain": "https://service.tib.eu/ldmservice", | 23 | "domain": "https://service.tib.eu/ldmservice", | ||
| 26 | "extra_authors": [ | 24 | "extra_authors": [ | ||
| 27 | { | 25 | { | ||
| n | 28 | "extra_author": "Tao Jia", | n | 26 | "extra_author": "Renhao Cui", |
| 29 | "orcid": "" | ||||
| 30 | }, | ||||
| 31 | { | ||||
| 32 | "extra_author": "Xiaomeng Wang", | ||||
| 33 | "orcid": "" | 27 | "orcid": "" | ||
| 34 | } | 28 | } | ||
| 35 | ], | 29 | ], | ||
| 36 | "groups": [ | 30 | "groups": [ | ||
| 37 | { | 31 | { | ||
| 38 | "description": "", | 32 | "description": "", | ||
| n | 39 | "display_name": "Clustering", | n | 33 | "display_name": "Cyberbullying", |
| 40 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | 34 | "id": "b6291ff3-64db-4061-8c4b-7c7f63032ec3", | ||
| 41 | "image_display_url": "", | 35 | "image_display_url": "", | ||
| n | 42 | "name": "clustering", | n | 36 | "name": "cyberbullying", |
| 43 | "title": "Clustering" | 37 | "title": "Cyberbullying" | ||
| 44 | }, | 38 | }, | ||
| 45 | { | 39 | { | ||
| 46 | "description": "", | 40 | "description": "", | ||
| 47 | "display_name": "Emotion Detection", | 41 | "display_name": "Emotion Detection", | ||
| 48 | "id": "51440fa4-5025-42f1-a105-f9525888073f", | 42 | "id": "51440fa4-5025-42f1-a105-f9525888073f", | ||
| 49 | "image_display_url": "", | 43 | "image_display_url": "", | ||
| 50 | "name": "emotion-detection", | 44 | "name": "emotion-detection", | ||
| 51 | "title": "Emotion Detection" | 45 | "title": "Emotion Detection" | ||
| 52 | }, | 46 | }, | ||
| 53 | { | 47 | { | ||
| 54 | "description": "", | 48 | "description": "", | ||
| n | 55 | "display_name": "Hate Speech Detection", | n | ||
| 56 | "id": "9b244318-2c52-447e-abe3-3a12204f62f1", | ||||
| 57 | "image_display_url": "", | ||||
| 58 | "name": "hate-speech-detection", | ||||
| 59 | "title": "Hate Speech Detection" | ||||
| 60 | }, | ||||
| 61 | { | ||||
| 62 | "description": "", | ||||
| 63 | "display_name": "Influence Maximization", | ||||
| 64 | "id": "0b2b357f-cf88-4f57-863c-05a7132e24a5", | ||||
| 65 | "image_display_url": "", | ||||
| 66 | "name": "influence-maximization", | ||||
| 67 | "title": "Influence Maximization" | ||||
| 68 | }, | ||||
| 69 | { | ||||
| 70 | "description": "", | ||||
| 71 | "display_name": "Information Diffusion", | ||||
| 72 | "id": "98e9cab9-d94d-4e15-80f5-9c59280c5ebf", | ||||
| 73 | "image_display_url": "", | ||||
| 74 | "name": "information-diffusion", | ||||
| 75 | "title": "Information Diffusion" | ||||
| 76 | }, | ||||
| 77 | { | ||||
| 78 | "description": "", | ||||
| 79 | "display_name": "Politics", | ||||
| 80 | "id": "209ec40d-b396-4970-98f0-0083a5b0e7c2", | ||||
| 81 | "image_display_url": "", | ||||
| 82 | "name": "politics", | ||||
| 83 | "title": "Politics" | ||||
| 84 | }, | ||||
| 85 | { | ||||
| 86 | "description": "", | ||||
| 87 | "display_name": "Sentiment Analysis", | 49 | "display_name": "Sentiment Analysis", | ||
| 88 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | 50 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | ||
| 89 | "image_display_url": "", | 51 | "image_display_url": "", | ||
| 90 | "name": "sentiment-analysis", | 52 | "name": "sentiment-analysis", | ||
| 91 | "title": "Sentiment Analysis" | 53 | "title": "Sentiment Analysis" | ||
| 92 | }, | 54 | }, | ||
| 93 | { | 55 | { | ||
| 94 | "description": "", | 56 | "description": "", | ||
| 95 | "display_name": "Social Media", | 57 | "display_name": "Social Media", | ||
| 96 | "id": "b83aca5b-001b-4864-b492-2775932c29d5", | 58 | "id": "b83aca5b-001b-4864-b492-2775932c29d5", | ||
| 97 | "image_display_url": "", | 59 | "image_display_url": "", | ||
| 98 | "name": "social-media", | 60 | "name": "social-media", | ||
| 99 | "title": "Social Media" | 61 | "title": "Social Media" | ||
| 100 | }, | 62 | }, | ||
| 101 | { | 63 | { | ||
| 102 | "description": "", | 64 | "description": "", | ||
| n | 103 | "display_name": "Social Media Analysis", | n | ||
| 104 | "id": "6dd7e6dc-b5b8-4fb8-8bf0-c1e907b2444c", | ||||
| 105 | "image_display_url": "", | ||||
| 106 | "name": "social-media-analysis", | ||||
| 107 | "title": "Social Media Analysis" | ||||
| 108 | }, | ||||
| 109 | { | ||||
| 110 | "description": "", | ||||
| 111 | "display_name": "Social Network", | ||||
| 112 | "id": "1d01a716-85e3-4a2d-b929-1bc55cc55c2d", | ||||
| 113 | "image_display_url": "", | ||||
| 114 | "name": "social-network", | ||||
| 115 | "title": "Social Network" | ||||
| 116 | }, | ||||
| 117 | { | ||||
| 118 | "description": "", | ||||
| 119 | "display_name": "Text Analysis", | 65 | "display_name": "Text Analysis", | ||
| 120 | "id": "c6e4118d-2ceb-49cc-97b8-1ddd4db9ffaa", | 66 | "id": "c6e4118d-2ceb-49cc-97b8-1ddd4db9ffaa", | ||
| 121 | "image_display_url": "", | 67 | "image_display_url": "", | ||
| 122 | "name": "text-analysis", | 68 | "name": "text-analysis", | ||
| 123 | "title": "Text Analysis" | 69 | "title": "Text Analysis" | ||
| 124 | }, | 70 | }, | ||
| 125 | { | 71 | { | ||
| 126 | "description": "", | 72 | "description": "", | ||
| n | 127 | "display_name": "Text Classification", | n | 73 | "display_name": "Text Data", |
| 128 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | 74 | "id": "30d52e93-891a-463b-a577-99a00396f012", | ||
| 129 | "image_display_url": "", | 75 | "image_display_url": "", | ||
| n | 130 | "name": "text-classification", | n | 76 | "name": "text-data", |
| 131 | "title": "Text Classification" | 77 | "title": "Text Data" | ||
| 78 | }, | ||||
| 79 | { | ||||
| 80 | "description": "", | ||||
| 81 | "display_name": "Twitter", | ||||
| 82 | "id": "e0ba70be-6db5-44b6-9662-1628c7542e70", | ||||
| 83 | "image_display_url": "", | ||||
| 84 | "name": "twitter", | ||||
| 85 | "title": "Twitter" | ||||
| 86 | }, | ||||
| 87 | { | ||||
| 88 | "description": "", | ||||
| 89 | "display_name": "User behavior", | ||||
| 90 | "id": "0b27ef45-c7cf-49e3-94ad-f2d08f589e5c", | ||||
| 91 | "image_display_url": "", | ||||
| 92 | "name": "user-behavior", | ||||
| 93 | "title": "User behavior" | ||||
| 132 | } | 94 | } | ||
| 133 | ], | 95 | ], | ||
| 134 | "id": "6e91a7bb-40dc-427e-ab49-70a1c2bb5a12", | 96 | "id": "6e91a7bb-40dc-427e-ab49-70a1c2bb5a12", | ||
| 135 | "isopen": false, | 97 | "isopen": false, | ||
| n | 136 | "landing_page": "https://twitter.com/", | n | 98 | "landing_page": "https://arxiv.org/abs/1806.03445", |
| 137 | "license_title": null, | 99 | "license_title": null, | ||
| 138 | "link_orkg": "", | 100 | "link_orkg": "", | ||
| 139 | "metadata_created": "2024-12-16T18:02:31.305610", | 101 | "metadata_created": "2024-12-16T18:02:31.305610", | ||
| n | 140 | "metadata_modified": "2024-12-16T18:02:31.998603", | n | 102 | "metadata_modified": "2024-12-16T19:57:44.252728", |
| 141 | "name": "twitter-dataset", | 103 | "name": "twitter-dataset", | ||
| n | 142 | "notes": "The dataset used in the paper is a large-scale graph | n | 104 | "notes": "The Twitter Dataset is a collection of tweets annotated |
| 143 | dataset, consisting of users and shows with multi-attribute edges. The | 105 | with Plutchik's emotions, consisting of tweets in three different | ||
| 144 | graph is constructed by selecting user IDs and side information | 106 | languages: English, Dutch, and German.", | ||
| 145 | combinations of shows as nodes, and click/co-click relations and view | ||||
| 146 | time as edges.", | ||||
| 147 | "num_resources": 1, | 107 | "num_resources": 0, | ||
| 148 | "num_tags": 29, | 108 | "num_tags": 20, | ||
| 149 | "organization": { | 109 | "organization": { | ||
| 150 | "approval_status": "approved", | 110 | "approval_status": "approved", | ||
| 151 | "created": "2024-11-25T12:11:38.292601", | 111 | "created": "2024-11-25T12:11:38.292601", | ||
| 152 | "description": "", | 112 | "description": "", | ||
| 153 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 113 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 154 | "image_url": "", | 114 | "image_url": "", | ||
| 155 | "is_organization": true, | 115 | "is_organization": true, | ||
| 156 | "name": "no-organization", | 116 | "name": "no-organization", | ||
| 157 | "state": "active", | 117 | "state": "active", | ||
| 158 | "title": "No Organization", | 118 | "title": "No Organization", | ||
| 159 | "type": "organization" | 119 | "type": "organization" | ||
| 160 | }, | 120 | }, | ||
| 161 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 121 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 162 | "private": false, | 122 | "private": false, | ||
| 163 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
| 164 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
| n | 165 | "resources": [ | n | 125 | "resources": [], |
| 166 | { | ||||
| 167 | "cache_last_updated": null, | ||||
| 168 | "cache_url": null, | ||||
| 169 | "created": "2024-12-16T18:25:32", | ||||
| 170 | "data": [ | ||||
| 171 | "dcterms:title", | ||||
| 172 | "dcterms:accessRights", | ||||
| 173 | "dcterms:creator", | ||||
| 174 | "dcterms:description", | ||||
| 175 | "dcterms:issued", | ||||
| 176 | "dcterms:language", | ||||
| 177 | "dcterms:identifier", | ||||
| 178 | "dcat:theme", | ||||
| 179 | "dcterms:type", | ||||
| 180 | "dcat:keyword", | ||||
| 181 | "dcat:landingPage", | ||||
| 182 | "dcterms:hasVersion", | ||||
| 183 | "dcterms:format", | ||||
| 184 | "mls:task", | ||||
| 185 | "datacite:isDescribedBy" | ||||
| 186 | ], | ||||
| 187 | "description": "The json representation of the dataset with its | ||||
| 188 | distributions based on DCAT.", | ||||
| 189 | "format": "JSON", | ||||
| 190 | "hash": "", | ||||
| 191 | "id": "a5c23a5e-429f-4008-b279-5ac6c8e2cea6", | ||||
| 192 | "last_modified": "2024-12-16T18:02:31.986466", | ||||
| 193 | "metadata_modified": "2024-12-16T18:02:32.001794", | ||||
| 194 | "mimetype": "application/json", | ||||
| 195 | "mimetype_inner": null, | ||||
| 196 | "name": "Original Metadata", | ||||
| 197 | "package_id": "6e91a7bb-40dc-427e-ab49-70a1c2bb5a12", | ||||
| 198 | "position": 0, | ||||
| 199 | "resource_type": null, | ||||
| 200 | "size": 2331, | ||||
| 201 | "state": "active", | ||||
| 202 | "url": | ||||
| 203 | resource/a5c23a5e-429f-4008-b279-5ac6c8e2cea6/download/metadata.json", | ||||
| 204 | "url_type": "upload" | ||||
| 205 | } | ||||
| 206 | ], | ||||
| 207 | "services_used_list": "", | 126 | "services_used_list": "", | ||
| 208 | "state": "active", | 127 | "state": "active", | ||
| 209 | "tags": [ | 128 | "tags": [ | ||
| 210 | { | 129 | { | ||
| n | 211 | "display_name": "Cascade Prediction", | n | 130 | "display_name": "Bot Detection", |
| 212 | "id": "bd837b79-c2b7-476a-a25d-a4f8796fcf90", | 131 | "id": "1471da46-f1df-45ed-bf26-15e0f320419f", | ||
| 213 | "name": "Cascade Prediction", | 132 | "name": "Bot Detection", | ||
| 214 | "state": "active", | 133 | "state": "active", | ||
| 215 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
| 216 | }, | 135 | }, | ||
| 217 | { | 136 | { | ||
| n | 218 | "display_name": "Clustering", | n | 137 | "display_name": "Cyberbullying", |
| 219 | "id": "7aa3309d-1ff8-4a9e-afce-b68ebd1363d6", | 138 | "id": "403c2dd2-1a9c-4f8e-b061-fd099f640ac0", | ||
| 220 | "name": "Clustering", | 139 | "name": "Cyberbullying", | ||
| 221 | "state": "active", | 140 | "state": "active", | ||
| 222 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
| 223 | }, | 142 | }, | ||
| 224 | { | 143 | { | ||
| n | 225 | "display_name": "English language", | n | ||
| 226 | "id": "3aa45288-2cc1-4ec3-a0ec-3a87cbcfb7be", | ||||
| 227 | "name": "English language", | ||||
| 228 | "state": "active", | ||||
| 229 | "vocabulary_id": null | ||||
| 230 | }, | ||||
| 231 | { | ||||
| 232 | "display_name": "GAN pre-training", | ||||
| 233 | "id": "9aa4b937-78e1-499f-9e4d-afc8b7666417", | ||||
| 234 | "name": "GAN pre-training", | ||||
| 235 | "state": "active", | ||||
| 236 | "vocabulary_id": null | ||||
| 237 | }, | ||||
| 238 | { | ||||
| 239 | "display_name": "Hashtags", | ||||
| 240 | "id": "4c4de7be-7132-4c2b-ae9d-b47dd2e50122", | ||||
| 241 | "name": "Hashtags", | ||||
| 242 | "state": "active", | ||||
| 243 | "vocabulary_id": null | ||||
| 244 | }, | ||||
| 245 | { | ||||
| 246 | "display_name": "Influence Maximization", | ||||
| 247 | "id": "523f5ead-10bf-4abe-91e5-9944aa596dd2", | ||||
| 248 | "name": "Influence Maximization", | ||||
| 249 | "state": "active", | ||||
| 250 | "vocabulary_id": null | ||||
| 251 | }, | ||||
| 252 | { | ||||
| 253 | "display_name": "Information Diffusion", | 144 | "display_name": "Emotion Detection", | ||
| 254 | "id": "7a48a929-98f8-4aac-88f2-15c5cb2dd026", | 145 | "id": "08ab967c-2e9d-4be1-9b57-1dffcec83d31", | ||
| 255 | "name": "Information Diffusion", | 146 | "name": "Emotion Detection", | ||
| 256 | "state": "active", | 147 | "state": "active", | ||
| 257 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
| 258 | }, | 149 | }, | ||
| 259 | { | 150 | { | ||
| n | 260 | "display_name": "Information Spread", | n | ||
| 261 | "id": "d8d3c1ca-ba99-4974-a50b-864d915412de", | ||||
| 262 | "name": "Information Spread", | ||||
| 263 | "state": "active", | ||||
| 264 | "vocabulary_id": null | ||||
| 265 | }, | ||||
| 266 | { | ||||
| 267 | "display_name": "Microblogging", | ||||
| 268 | "id": "692cea18-8f45-40f1-bc22-60a816845821", | ||||
| 269 | "name": "Microblogging", | ||||
| 270 | "state": "active", | ||||
| 271 | "vocabulary_id": null | ||||
| 272 | }, | ||||
| 273 | { | ||||
| 274 | "display_name": "Politics", | ||||
| 275 | "id": "d5340b0c-4804-4989-8702-0774cfdd90e1", | ||||
| 276 | "name": "Politics", | ||||
| 277 | "state": "active", | ||||
| 278 | "vocabulary_id": null | ||||
| 279 | }, | ||||
| 280 | { | ||||
| 281 | "display_name": "Retweets", | 151 | "display_name": "News Media", | ||
| 282 | "id": "de9bdf8f-3b2e-4c0a-997d-07a30d9f4b06", | 152 | "id": "9d244b1d-e7db-4752-a52e-8060b689847d", | ||
| 283 | "name": "Retweets", | 153 | "name": "News Media", | ||
| 284 | "state": "active", | 154 | "state": "active", | ||
| 285 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
| 286 | }, | 156 | }, | ||
| 287 | { | 157 | { | ||
| 288 | "display_name": "Sentiment Analysis", | 158 | "display_name": "Sentiment Analysis", | ||
| 289 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | 159 | "id": "8523cc06-351a-4eef-b126-04451cbc0d13", | ||
| 290 | "name": "Sentiment Analysis", | 160 | "name": "Sentiment Analysis", | ||
| 291 | "state": "active", | 161 | "state": "active", | ||
| 292 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
| 293 | }, | 163 | }, | ||
| 294 | { | 164 | { | ||
| 295 | "display_name": "Social Media", | 165 | "display_name": "Social Media", | ||
| 296 | "id": "b485936d-4587-46d6-bbcd-40224d18c059", | 166 | "id": "b485936d-4587-46d6-bbcd-40224d18c059", | ||
| 297 | "name": "Social Media", | 167 | "name": "Social Media", | ||
| 298 | "state": "active", | 168 | "state": "active", | ||
| 299 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
| 300 | }, | 170 | }, | ||
| 301 | { | 171 | { | ||
| n | n | 172 | "display_name": "TF-IDF", | ||
| 173 | "id": "9acd0039-9fad-45ee-94b1-956700453d6d", | ||||
| 174 | "name": "TF-IDF", | ||||
| 175 | "state": "active", | ||||
| 176 | "vocabulary_id": null | ||||
| 177 | }, | ||||
| 178 | { | ||||
| 179 | "display_name": "Text Analysis", | ||||
| 180 | "id": "1e046b3d-9150-4494-a56a-5c6eeea2423e", | ||||
| 181 | "name": "Text Analysis", | ||||
| 182 | "state": "active", | ||||
| 183 | "vocabulary_id": null | ||||
| 184 | }, | ||||
| 185 | { | ||||
| 302 | "display_name": "Social Network", | 186 | "display_name": "Tweets", | ||
| 303 | "id": "1e1ca6fe-54c3-421f-ad9c-fa0574bb0a1b", | 187 | "id": "81caff1a-c82f-4cc1-91db-df6f5ab4182a", | ||
| 304 | "name": "Social Network", | 188 | "name": "Tweets", | ||
| 305 | "state": "active", | 189 | "state": "active", | ||
| 306 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
| 307 | }, | 191 | }, | ||
| 308 | { | 192 | { | ||
| 309 | "display_name": "Twitter", | 193 | "display_name": "Twitter", | ||
| 310 | "id": "08db1ce0-8141-43dd-b75e-80f3767d7e55", | 194 | "id": "08db1ce0-8141-43dd-b75e-80f3767d7e55", | ||
| 311 | "name": "Twitter", | 195 | "name": "Twitter", | ||
| 312 | "state": "active", | 196 | "state": "active", | ||
| 313 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
| 314 | }, | 198 | }, | ||
| 315 | { | 199 | { | ||
| n | 316 | "display_name": "Twitter Data", | n | ||
| 317 | "id": "4ce18a8a-0957-495c-9c37-079a6e7cb049", | ||||
| 318 | "name": "Twitter Data", | ||||
| 319 | "state": "active", | ||||
| 320 | "vocabulary_id": null | ||||
| 321 | }, | ||||
| 322 | { | ||||
| 323 | "display_name": "Twitter dataset", | 200 | "display_name": "Twitter Dataset", | ||
| 324 | "id": "410ea90f-9e83-4546-a7ee-4e9e9c109c1a", | 201 | "id": "ded3e78e-39b5-41fc-9fd3-163b162a631c", | ||
| 325 | "name": "Twitter dataset", | 202 | "name": "Twitter Dataset", | ||
| 326 | "state": "active", | 203 | "state": "active", | ||
| 327 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 328 | }, | 205 | }, | ||
| 329 | { | 206 | { | ||
| n | 330 | "display_name": "Twitter sentiment analysis", | n | ||
| 331 | "id": "1f8ad081-9e23-4dac-af3f-81508cca2d7a", | ||||
| 332 | "name": "Twitter sentiment analysis", | ||||
| 333 | "state": "active", | ||||
| 334 | "vocabulary_id": null | ||||
| 335 | }, | ||||
| 336 | { | ||||
| 337 | "display_name": "Weibo", | 207 | "display_name": "User Behavior", | ||
| 338 | "id": "f4c72463-651e-4e20-ba50-a9b2fddc6b62", | 208 | "id": "5f924fe4-9a56-4aad-9fd0-d77064c9d0dd", | ||
| 339 | "name": "Weibo", | 209 | "name": "User Behavior", | ||
| 340 | "state": "active", | 210 | "state": "active", | ||
| 341 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
| 342 | }, | 212 | }, | ||
| 343 | { | 213 | { | ||
| n | 344 | "display_name": "emotion detection", | n | 214 | "display_name": "User-Generated Content", |
| 345 | "id": "2d1233d8-2ac1-4dcd-9b88-bc743cd07b45", | 215 | "id": "da08ad89-7338-4fdb-aa9a-cb7f27a77085", | ||
| 346 | "name": "emotion detection", | 216 | "name": "User-Generated Content", | ||
| 347 | "state": "active", | 217 | "state": "active", | ||
| 348 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
| 349 | }, | 219 | }, | ||
| 350 | { | 220 | { | ||
| n | 351 | "display_name": "hate speech detection", | n | ||
| 352 | "id": "4c6940fa-b834-4b20-b2c2-0789a41ea70d", | ||||
| 353 | "name": "hate speech detection", | ||||
| 354 | "state": "active", | ||||
| 355 | "vocabulary_id": null | ||||
| 356 | }, | ||||
| 357 | { | ||||
| 358 | "display_name": "malicious spelling correction", | ||||
| 359 | "id": "6834dc4c-62d4-460c-ad02-ac955283b308", | ||||
| 360 | "name": "malicious spelling correction", | ||||
| 361 | "state": "active", | ||||
| 362 | "vocabulary_id": null | ||||
| 363 | }, | ||||
| 364 | { | ||||
| 365 | "display_name": "multivariate", | 221 | "display_name": "hashtag", | ||
| 366 | "id": "a19c81b7-4456-4351-af8b-391483924a87", | 222 | "id": "52306dbd-ed5f-446b-9e55-86598fe584ae", | ||
| 367 | "name": "multivariate", | 223 | "name": "hashtag", | ||
| 368 | "state": "active", | 224 | "state": "active", | ||
| 369 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 370 | }, | 226 | }, | ||
| 371 | { | 227 | { | ||
| 372 | "display_name": "sentiment analysis", | 228 | "display_name": "sentiment analysis", | ||
| 373 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | 229 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | ||
| 374 | "name": "sentiment analysis", | 230 | "name": "sentiment analysis", | ||
| 375 | "state": "active", | 231 | "state": "active", | ||
| 376 | "vocabulary_id": null | 232 | "vocabulary_id": null | ||
| 377 | }, | 233 | }, | ||
| 378 | { | 234 | { | ||
| n | 379 | "display_name": "sexism detection", | n | 235 | "display_name": "social media", |
| 380 | "id": "5e5b0caa-a6c6-4813-ac9f-e5c729305539", | 236 | "id": "e3129b62-a584-477e-b624-9d6472d93c5d", | ||
| 381 | "name": "sexism detection", | 237 | "name": "social media", | ||
| 382 | "state": "active", | 238 | "state": "active", | ||
| 383 | "vocabulary_id": null | 239 | "vocabulary_id": null | ||
| 384 | }, | 240 | }, | ||
| 385 | { | 241 | { | ||
| 386 | "display_name": "text analysis", | 242 | "display_name": "text analysis", | ||
| 387 | "id": "8dede2ad-b59f-4a39-b2b2-4259c7ebcaea", | 243 | "id": "8dede2ad-b59f-4a39-b2b2-4259c7ebcaea", | ||
| 388 | "name": "text analysis", | 244 | "name": "text analysis", | ||
| 389 | "state": "active", | 245 | "state": "active", | ||
| 390 | "vocabulary_id": null | 246 | "vocabulary_id": null | ||
| 391 | }, | 247 | }, | ||
| 392 | { | 248 | { | ||
| 393 | "display_name": "text classification", | 249 | "display_name": "text classification", | ||
| 394 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | 250 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | ||
| 395 | "name": "text classification", | 251 | "name": "text classification", | ||
| 396 | "state": "active", | 252 | "state": "active", | ||
| 397 | "vocabulary_id": null | 253 | "vocabulary_id": null | ||
| 398 | }, | 254 | }, | ||
| 399 | { | 255 | { | ||
| n | 400 | "display_name": "toxicity detection", | n | 256 | "display_name": "text data", |
| 401 | "id": "75121db6-e77a-4d10-960f-1eff434d3479", | 257 | "id": "71552fca-5e8d-428f-82c0-9d2d0160e73d", | ||
| 402 | "name": "toxicity detection", | 258 | "name": "text data", | ||
| 259 | "state": "active", | ||||
| 260 | "vocabulary_id": null | ||||
| 261 | }, | ||||
| 262 | { | ||||
| 263 | "display_name": "twitter", | ||||
| 264 | "id": "2bfffab2-afed-489c-a803-6f45d90bbc4a", | ||||
| 403 | "state": "active", | 265 | "name": "twitter", | ||
| 404 | "vocabulary_id": null | ||||
| 405 | }, | ||||
| 406 | { | ||||
| 407 | "display_name": "various types of links", | ||||
| 408 | "id": "dbd63f51-2817-41be-b38e-82057b9b481f", | ||||
| 409 | "name": "various types of links", | ||||
| 410 | "state": "active", | 266 | "state": "active", | ||
| 411 | "vocabulary_id": null | 267 | "vocabulary_id": null | ||
| 412 | } | 268 | } | ||
| 413 | ], | 269 | ], | ||
| t | 414 | "title": "Twitter dataset", | t | 270 | "title": "Twitter Dataset", |
| 415 | "type": "dataset", | 271 | "type": "dataset", | ||
| 416 | "version": "" | 272 | "version": "" | ||
| 417 | } | 273 | } |