{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:R6J7QQVUMP3ALXE7FHF22X33LD","short_pith_number":"pith:R6J7QQVU","canonical_record":{"source":{"id":"1712.08917","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-24T13:23:58Z","cross_cats_sorted":[],"title_canon_sha256":"2fef4a2f53b0924ced9ef66bbbbac004c4ae185897b2f1842906c870d812726c","abstract_canon_sha256":"81b8d93c7591a7db39b0421157ac5caf6738c61fc6fb60fa566b2c3db174f5da"},"schema_version":"1.0"},"canonical_sha256":"8f93f842b463f605dc9f29cbad5f7b58c29683f62f1c1cd56e370739344b751a","source":{"kind":"arxiv","id":"1712.08917","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08917","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08917v1","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08917","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"pith_short_12","alias_value":"R6J7QQVUMP3A","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"R6J7QQVUMP3ALXE7","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"R6J7QQVU","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:R6J7QQVUMP3ALXE7FHF22X33LD","target":"record","payload":{"canonical_record":{"source":{"id":"1712.08917","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-24T13:23:58Z","cross_cats_sorted":[],"title_canon_sha256":"2fef4a2f53b0924ced9ef66bbbbac004c4ae185897b2f1842906c870d812726c","abstract_canon_sha256":"81b8d93c7591a7db39b0421157ac5caf6738c61fc6fb60fa566b2c3db174f5da"},"schema_version":"1.0"},"canonical_sha256":"8f93f842b463f605dc9f29cbad5f7b58c29683f62f1c1cd56e370739344b751a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:14.852249Z","signature_b64":"QDoqkgT+fB6cO11wfYS7LjWw2cGTEGrzr/x3lAzfxAB4xqQbyPqgwJqPdrewm/DhTJOC+W6Tvw63Bl6Pmc7uAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f93f842b463f605dc9f29cbad5f7b58c29683f62f1c1cd56e370739344b751a","last_reissued_at":"2026-05-18T00:27:14.851835Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:14.851835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.08917","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:27:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TSFyvB6i2rV2reTmsqcLEZRXqCIJh2lUeE8rbNh3LsBRTlVxZvcSWg2IoqXSJTmcyth+HMF9iO8ui4vSLQwzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:18:14.286468Z"},"content_sha256":"8c82e88571d3e4e2d7ca717e7b5b5ed1ce0e53b84fccd1f8a14b384f23fd2ac5","schema_version":"1.0","event_id":"sha256:8c82e88571d3e4e2d7ca717e7b5b5ed1ce0e53b84fccd1f8a14b384f23fd2ac5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:R6J7QQVUMP3ALXE7FHF22X33LD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Building a Sentiment Corpus of Tweets in Brazilian Portuguese","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Henrico Bertini Brum, Maria das Gra\\c{c}as Volpe Nunes","submitted_at":"2017-12-24T13:23:58Z","abstract_excerpt":"The large amount of data available in social media, forums and websites motivates researches in several areas of Natural Language Processing, such as sentiment analysis. The popularity of the area due to its subjective and semantic characteristics motivates research on novel methods and approaches for classification. Hence, there is a high demand for datasets on different domains and different languages. This paper introduces TweetSentBR, a sentiment corpora for Brazilian Portuguese manually annotated with 15.000 sentences on TV show domain. The sentences were labeled in three classes (positiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08917","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:27:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mh6JvfK2+GwIm6tn9Zu1KbjwfBpzXcV+Kf1AeTkV6MXh2DlXZrSRRbn4aoaR101O8Wu2P8Nsxg7bQdqGswKJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:18:14.293509Z"},"content_sha256":"70943ad863ad4c4b6afdacec316825763960d6fbe850abf6d890a536157099a6","schema_version":"1.0","event_id":"sha256:70943ad863ad4c4b6afdacec316825763960d6fbe850abf6d890a536157099a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R6J7QQVUMP3ALXE7FHF22X33LD/bundle.json","state_url":"https://pith.science/pith/R6J7QQVUMP3ALXE7FHF22X33LD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R6J7QQVUMP3ALXE7FHF22X33LD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T13:18:14Z","links":{"resolver":"https://pith.science/pith/R6J7QQVUMP3ALXE7FHF22X33LD","bundle":"https://pith.science/pith/R6J7QQVUMP3ALXE7FHF22X33LD/bundle.json","state":"https://pith.science/pith/R6J7QQVUMP3ALXE7FHF22X33LD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R6J7QQVUMP3ALXE7FHF22X33LD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:R6J7QQVUMP3ALXE7FHF22X33LD","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"81b8d93c7591a7db39b0421157ac5caf6738c61fc6fb60fa566b2c3db174f5da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-24T13:23:58Z","title_canon_sha256":"2fef4a2f53b0924ced9ef66bbbbac004c4ae185897b2f1842906c870d812726c"},"schema_version":"1.0","source":{"id":"1712.08917","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08917","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08917v1","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08917","created_at":"2026-05-18T00:27:14Z"},{"alias_kind":"pith_short_12","alias_value":"R6J7QQVUMP3A","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"R6J7QQVUMP3ALXE7","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"R6J7QQVU","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:70943ad863ad4c4b6afdacec316825763960d6fbe850abf6d890a536157099a6","target":"graph","created_at":"2026-05-18T00:27:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The large amount of data available in social media, forums and websites motivates researches in several areas of Natural Language Processing, such as sentiment analysis. The popularity of the area due to its subjective and semantic characteristics motivates research on novel methods and approaches for classification. Hence, there is a high demand for datasets on different domains and different languages. This paper introduces TweetSentBR, a sentiment corpora for Brazilian Portuguese manually annotated with 15.000 sentences on TV show domain. The sentences were labeled in three classes (positiv","authors_text":"Henrico Bertini Brum, Maria das Gra\\c{c}as Volpe Nunes","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-24T13:23:58Z","title":"Building a Sentiment Corpus of Tweets in Brazilian Portuguese"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08917","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8c82e88571d3e4e2d7ca717e7b5b5ed1ce0e53b84fccd1f8a14b384f23fd2ac5","target":"record","created_at":"2026-05-18T00:27:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"81b8d93c7591a7db39b0421157ac5caf6738c61fc6fb60fa566b2c3db174f5da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-24T13:23:58Z","title_canon_sha256":"2fef4a2f53b0924ced9ef66bbbbac004c4ae185897b2f1842906c870d812726c"},"schema_version":"1.0","source":{"id":"1712.08917","kind":"arxiv","version":1}},"canonical_sha256":"8f93f842b463f605dc9f29cbad5f7b58c29683f62f1c1cd56e370739344b751a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f93f842b463f605dc9f29cbad5f7b58c29683f62f1c1cd56e370739344b751a","first_computed_at":"2026-05-18T00:27:14.851835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:14.851835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QDoqkgT+fB6cO11wfYS7LjWw2cGTEGrzr/x3lAzfxAB4xqQbyPqgwJqPdrewm/DhTJOC+W6Tvw63Bl6Pmc7uAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:14.852249Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.08917","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c82e88571d3e4e2d7ca717e7b5b5ed1ce0e53b84fccd1f8a14b384f23fd2ac5","sha256:70943ad863ad4c4b6afdacec316825763960d6fbe850abf6d890a536157099a6"],"state_sha256":"de9fb3c519b9daf2f4ba79cd2945eb85aaa908fbfc36811c2b783c77af6d20a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4N35XggveVkdGvD9s83vQPYG9n8T7KIIBbGPGUlP5FT74nncbMCwCpdqbOH6drNOpKei7VXTw3coFWkXEzBXCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T13:18:14.304627Z","bundle_sha256":"069b39ff9765eb32b4ad40975e1f143dc98154a28186ac5137abf6b1179594c8"}}