{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KA4D3BPWTXCQKRX7GJPYVL3VOV","short_pith_number":"pith:KA4D3BPW","canonical_record":{"source":{"id":"1707.01425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-07-05T15:03:30Z","cross_cats_sorted":["cs.CL","cs.DL"],"title_canon_sha256":"dc846771680c94e7a7f63f9cb29ddb5b155565a4a97878967f27f1237e9c8f0a","abstract_canon_sha256":"1a4eb4a812acc17bb6cb327fe16b0285b28a5ab51dc313a1904250edac1de7fa"},"schema_version":"1.0"},"canonical_sha256":"50383d85f69dc50546ff325f8aaf757566542351a01cefe7474e566df6c425ce","source":{"kind":"arxiv","id":"1707.01425","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01425","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01425v1","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01425","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"pith_short_12","alias_value":"KA4D3BPWTXCQ","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KA4D3BPWTXCQKRX7","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KA4D3BPW","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KA4D3BPWTXCQKRX7GJPYVL3VOV","target":"record","payload":{"canonical_record":{"source":{"id":"1707.01425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-07-05T15:03:30Z","cross_cats_sorted":["cs.CL","cs.DL"],"title_canon_sha256":"dc846771680c94e7a7f63f9cb29ddb5b155565a4a97878967f27f1237e9c8f0a","abstract_canon_sha256":"1a4eb4a812acc17bb6cb327fe16b0285b28a5ab51dc313a1904250edac1de7fa"},"schema_version":"1.0"},"canonical_sha256":"50383d85f69dc50546ff325f8aaf757566542351a01cefe7474e566df6c425ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:52.361679Z","signature_b64":"HBk4/ltW0RUiwHhTz6f59hpOwM9i/nf6pSjKQBYlOqW7BROsSf3qhbi9QRuoDfmUqQN5uYhYYqtGghX/1CW9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50383d85f69dc50546ff325f8aaf757566542351a01cefe7474e566df6c425ce","last_reissued_at":"2026-05-18T00:40:52.361097Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:52.361097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.01425","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":"2026-05-18T00:40:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8cToc6dil8M++TPVwf9Lx4+8wS9GO9X0Vjg8UtN7O++Tuubb7jq2xdBf+Kfopemm65KGtvyInFfTH4gw+kFVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:19:29.656102Z"},"content_sha256":"7863daf17291d2ad594a2f565e049efd02a76f0e7366702fc181b0f9aed69d48","schema_version":"1.0","event_id":"sha256:7863daf17291d2ad594a2f565e049efd02a76f0e7366702fc181b0f9aed69d48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KA4D3BPWTXCQKRX7GJPYVL3VOV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Determining sentiment in citation text and analyzing its impact on the proposed ranking index","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.DL"],"primary_cat":"cs.IR","authors_text":"Dipankar Das, Souvick Ghosh, Tanmoy Chakraborty","submitted_at":"2017-07-05T15:03:30Z","abstract_excerpt":"Whenever human beings interact with each other, they exchange or express opinions, emotions, and sentiments. These opinions can be expressed in text, speech or images. Analysis of these sentiments is one of the popular research areas of present day researchers. Sentiment analysis, also known as opinion mining tries to identify or classify these sentiments or opinions into two broad categories - positive and negative. In recent years, the scientific community has taken a lot of interest in analyzing sentiment in textual data available in various social media platforms. Much work has been done o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01425","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":"2026-05-18T00:40:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xxizn2jZnHh1VOOl9p5oDag1GfyxP+Yj2iLC+sIpT2JDWHgsc4pGP6loscQhPxpL6q2qtb65Xr6h8VsGo91MBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:19:29.656476Z"},"content_sha256":"209e1f120a3079e5a142c8fd477d3a2152a1bf81c3ebafaea285e52785284ced","schema_version":"1.0","event_id":"sha256:209e1f120a3079e5a142c8fd477d3a2152a1bf81c3ebafaea285e52785284ced"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/bundle.json","state_url":"https://pith.science/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/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":"2026-06-12T09:19:29Z","links":{"resolver":"https://pith.science/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV","bundle":"https://pith.science/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/bundle.json","state":"https://pith.science/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KA4D3BPWTXCQKRX7GJPYVL3VOV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KA4D3BPWTXCQKRX7GJPYVL3VOV","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":"1a4eb4a812acc17bb6cb327fe16b0285b28a5ab51dc313a1904250edac1de7fa","cross_cats_sorted":["cs.CL","cs.DL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-07-05T15:03:30Z","title_canon_sha256":"dc846771680c94e7a7f63f9cb29ddb5b155565a4a97878967f27f1237e9c8f0a"},"schema_version":"1.0","source":{"id":"1707.01425","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01425","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01425v1","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01425","created_at":"2026-05-18T00:40:52Z"},{"alias_kind":"pith_short_12","alias_value":"KA4D3BPWTXCQ","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KA4D3BPWTXCQKRX7","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KA4D3BPW","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:209e1f120a3079e5a142c8fd477d3a2152a1bf81c3ebafaea285e52785284ced","target":"graph","created_at":"2026-05-18T00:40:52Z","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":"Whenever human beings interact with each other, they exchange or express opinions, emotions, and sentiments. These opinions can be expressed in text, speech or images. Analysis of these sentiments is one of the popular research areas of present day researchers. Sentiment analysis, also known as opinion mining tries to identify or classify these sentiments or opinions into two broad categories - positive and negative. In recent years, the scientific community has taken a lot of interest in analyzing sentiment in textual data available in various social media platforms. Much work has been done o","authors_text":"Dipankar Das, Souvick Ghosh, Tanmoy Chakraborty","cross_cats":["cs.CL","cs.DL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-07-05T15:03:30Z","title":"Determining sentiment in citation text and analyzing its impact on the proposed ranking index"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01425","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":"sha256:7863daf17291d2ad594a2f565e049efd02a76f0e7366702fc181b0f9aed69d48","target":"record","created_at":"2026-05-18T00:40:52Z","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":"1a4eb4a812acc17bb6cb327fe16b0285b28a5ab51dc313a1904250edac1de7fa","cross_cats_sorted":["cs.CL","cs.DL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-07-05T15:03:30Z","title_canon_sha256":"dc846771680c94e7a7f63f9cb29ddb5b155565a4a97878967f27f1237e9c8f0a"},"schema_version":"1.0","source":{"id":"1707.01425","kind":"arxiv","version":1}},"canonical_sha256":"50383d85f69dc50546ff325f8aaf757566542351a01cefe7474e566df6c425ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50383d85f69dc50546ff325f8aaf757566542351a01cefe7474e566df6c425ce","first_computed_at":"2026-05-18T00:40:52.361097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:52.361097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HBk4/ltW0RUiwHhTz6f59hpOwM9i/nf6pSjKQBYlOqW7BROsSf3qhbi9QRuoDfmUqQN5uYhYYqtGghX/1CW9Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:52.361679Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.01425","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7863daf17291d2ad594a2f565e049efd02a76f0e7366702fc181b0f9aed69d48","sha256:209e1f120a3079e5a142c8fd477d3a2152a1bf81c3ebafaea285e52785284ced"],"state_sha256":"7da80f146d4932f8a438fa70eae950142bd758557237e73d09902486dca83d4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LesSQMEqoZdd5CmMPgp2kl357OC9jprMCLlaDvBiRNrWbR2qryUmv0Ld8bby7hoReZYBBAZkS0/QBR70vJXYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:19:29.658520Z","bundle_sha256":"e3d5fe2ee72e83aac078c909b61ef026ef11d1833462dd2e35b0aaa756d37dcc"}}