{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:UW4FICPPUU6CM7VB5HG44NF24K","short_pith_number":"pith:UW4FICPP","canonical_record":{"source":{"id":"1710.02514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-06T17:46:53Z","cross_cats_sorted":[],"title_canon_sha256":"6dc2f5c4d292d264613f61ba4f4a4592a481cb4cb254056b58fda95dca62e314","abstract_canon_sha256":"bf2ce0d2ec3e0c6a2ae5b52a8bad7e1e1db84514574394fe9b49abeb8034e83e"},"schema_version":"1.0"},"canonical_sha256":"a5b85409efa53c267ea1e9cdce34bae28b5c6f8e61f71639a419cfd41b6ca0f1","source":{"kind":"arxiv","id":"1710.02514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.02514","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"arxiv_version","alias_value":"1710.02514v1","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.02514","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"pith_short_12","alias_value":"UW4FICPPUU6C","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"UW4FICPPUU6CM7VB","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"UW4FICPP","created_at":"2026-05-18T12:31:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:UW4FICPPUU6CM7VB5HG44NF24K","target":"record","payload":{"canonical_record":{"source":{"id":"1710.02514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-06T17:46:53Z","cross_cats_sorted":[],"title_canon_sha256":"6dc2f5c4d292d264613f61ba4f4a4592a481cb4cb254056b58fda95dca62e314","abstract_canon_sha256":"bf2ce0d2ec3e0c6a2ae5b52a8bad7e1e1db84514574394fe9b49abeb8034e83e"},"schema_version":"1.0"},"canonical_sha256":"a5b85409efa53c267ea1e9cdce34bae28b5c6f8e61f71639a419cfd41b6ca0f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:33.242476Z","signature_b64":"b4JU9i1DPnnzfoNPmLp7IYkD8LPDp0hbaC0SScnZr2yKzoRi64J6SScsIJjlC/FtW4a7q6eLskhcmMxNG/oKBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5b85409efa53c267ea1e9cdce34bae28b5c6f8e61f71639a419cfd41b6ca0f1","last_reissued_at":"2026-05-18T00:33:33.241959Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:33.241959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.02514","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":"2026-05-18T00:33:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2/QBLBj8o+O9/9ewq9oyItBLDcNNkOP339jhvESwMOOdHXwjSmfjCxKKotm5Q7rikR7+WIG5woyl8ShJfM+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:36:20.782713Z"},"content_sha256":"eb4f113f587e66093e4610b3b385a598719619bf1e3dfc7e0c1f25bb4e0c0ff9","schema_version":"1.0","event_id":"sha256:eb4f113f587e66093e4610b3b385a598719619bf1e3dfc7e0c1f25bb4e0c0ff9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:UW4FICPPUU6CM7VB5HG44NF24K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Challenges of Sentiment Analysis for Dynamic Events","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Amir Hossein Yazdavar, Amit Sheth, Monireh Ebrahimi","submitted_at":"2017-10-06T17:46:53Z","abstract_excerpt":"With the proliferation of social media over the last decade, determining people's attitude with respect to a specific topic, document, interaction or events has fueled research interest in natural language processing and introduced a new channel called sentiment and emotion analysis. For instance, businesses routinely look to develop systems to automatically understand their customer conversations by identifying the relevant content to enhance marketing their products and managing their reputations. Previous efforts to assess people's sentiment on Twitter have suggested that Twitter may be a v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.02514","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":"2026-05-18T00:33:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pekJl6vcMl0d+xbkgQTPbXGVRqv2SYi0mJLC0h/kZdmvImIMcMWQY3FPoi69KH+J3nBTivMCGtMDE68g2G7ODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:36:20.783453Z"},"content_sha256":"bb55ccbc3a9e41845f84a278b46a3af9f67fb040bbc4764e126fc04791cebea1","schema_version":"1.0","event_id":"sha256:bb55ccbc3a9e41845f84a278b46a3af9f67fb040bbc4764e126fc04791cebea1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UW4FICPPUU6CM7VB5HG44NF24K/bundle.json","state_url":"https://pith.science/pith/UW4FICPPUU6CM7VB5HG44NF24K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UW4FICPPUU6CM7VB5HG44NF24K/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":"2026-06-12T02:36:20Z","links":{"resolver":"https://pith.science/pith/UW4FICPPUU6CM7VB5HG44NF24K","bundle":"https://pith.science/pith/UW4FICPPUU6CM7VB5HG44NF24K/bundle.json","state":"https://pith.science/pith/UW4FICPPUU6CM7VB5HG44NF24K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UW4FICPPUU6CM7VB5HG44NF24K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:UW4FICPPUU6CM7VB5HG44NF24K","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":"bf2ce0d2ec3e0c6a2ae5b52a8bad7e1e1db84514574394fe9b49abeb8034e83e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-06T17:46:53Z","title_canon_sha256":"6dc2f5c4d292d264613f61ba4f4a4592a481cb4cb254056b58fda95dca62e314"},"schema_version":"1.0","source":{"id":"1710.02514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.02514","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"arxiv_version","alias_value":"1710.02514v1","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.02514","created_at":"2026-05-18T00:33:33Z"},{"alias_kind":"pith_short_12","alias_value":"UW4FICPPUU6C","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"UW4FICPPUU6CM7VB","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"UW4FICPP","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:bb55ccbc3a9e41845f84a278b46a3af9f67fb040bbc4764e126fc04791cebea1","target":"graph","created_at":"2026-05-18T00:33:33Z","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":"With the proliferation of social media over the last decade, determining people's attitude with respect to a specific topic, document, interaction or events has fueled research interest in natural language processing and introduced a new channel called sentiment and emotion analysis. For instance, businesses routinely look to develop systems to automatically understand their customer conversations by identifying the relevant content to enhance marketing their products and managing their reputations. Previous efforts to assess people's sentiment on Twitter have suggested that Twitter may be a v","authors_text":"Amir Hossein Yazdavar, Amit Sheth, Monireh Ebrahimi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-06T17:46:53Z","title":"On the Challenges of Sentiment Analysis for Dynamic Events"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.02514","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:eb4f113f587e66093e4610b3b385a598719619bf1e3dfc7e0c1f25bb4e0c0ff9","target":"record","created_at":"2026-05-18T00:33:33Z","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":"bf2ce0d2ec3e0c6a2ae5b52a8bad7e1e1db84514574394fe9b49abeb8034e83e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-06T17:46:53Z","title_canon_sha256":"6dc2f5c4d292d264613f61ba4f4a4592a481cb4cb254056b58fda95dca62e314"},"schema_version":"1.0","source":{"id":"1710.02514","kind":"arxiv","version":1}},"canonical_sha256":"a5b85409efa53c267ea1e9cdce34bae28b5c6f8e61f71639a419cfd41b6ca0f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5b85409efa53c267ea1e9cdce34bae28b5c6f8e61f71639a419cfd41b6ca0f1","first_computed_at":"2026-05-18T00:33:33.241959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:33.241959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b4JU9i1DPnnzfoNPmLp7IYkD8LPDp0hbaC0SScnZr2yKzoRi64J6SScsIJjlC/FtW4a7q6eLskhcmMxNG/oKBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:33.242476Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.02514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb4f113f587e66093e4610b3b385a598719619bf1e3dfc7e0c1f25bb4e0c0ff9","sha256:bb55ccbc3a9e41845f84a278b46a3af9f67fb040bbc4764e126fc04791cebea1"],"state_sha256":"ce923fe40da499f1b48750d27961917f8c577959960357d739902e35edd36925"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tomkk+eAEv0O1DL7ecceCwvYUYSRyz7qg1WU827dVxUpHDXPiGHKKlgNMVJICqarezLQz1rUoxVWd+KfIM9TAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T02:36:20.787287Z","bundle_sha256":"9986e83241340594fbe2b59998ab6b2c20af538e26a2e56dfdad22dc174cd0fe"}}