{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:II6UXRKDFPN7LEJT72F3DJPO65","short_pith_number":"pith:II6UXRKD","canonical_record":{"source":{"id":"1801.07861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-24T05:11:57Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"f420fad3733b6d0c397bddb01da91a685dae083c08a9f3fd864a4ece0a74ec16","abstract_canon_sha256":"2d18c21bd95b87087f8ff9aa13cd6eaea6cece78fbca2c6fafd11274db336a97"},"schema_version":"1.0"},"canonical_sha256":"423d4bc5432bdbf59133fe8bb1a5eef754e8c46951bbf6d0919eaaab8ea70eb8","source":{"kind":"arxiv","id":"1801.07861","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.07861","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"arxiv_version","alias_value":"1801.07861v1","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.07861","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"pith_short_12","alias_value":"II6UXRKDFPN7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"II6UXRKDFPN7LEJT","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"II6UXRKD","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:II6UXRKDFPN7LEJT72F3DJPO65","target":"record","payload":{"canonical_record":{"source":{"id":"1801.07861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-24T05:11:57Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"f420fad3733b6d0c397bddb01da91a685dae083c08a9f3fd864a4ece0a74ec16","abstract_canon_sha256":"2d18c21bd95b87087f8ff9aa13cd6eaea6cece78fbca2c6fafd11274db336a97"},"schema_version":"1.0"},"canonical_sha256":"423d4bc5432bdbf59133fe8bb1a5eef754e8c46951bbf6d0919eaaab8ea70eb8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:10.645007Z","signature_b64":"/tscPzCnwSTOCruG6LBDFrTidogKn3TBXNnxmBa4BhccI49vLPpiq2gXq5fS7S+u2+gTtaGJ3k3SozyT1dtFCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"423d4bc5432bdbf59133fe8bb1a5eef754e8c46951bbf6d0919eaaab8ea70eb8","last_reissued_at":"2026-05-18T00:25:10.644446Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:10.644446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.07861","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":"2026-05-18T00:25:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r/NpPlAc8qyMJAsRUAngDh7SpsQVKv6AyE16ob1odR8d7p8WZKDmJ+fOcCQgcqlCz38GykJoHDwNrEXYjgm4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:59:03.181842Z"},"content_sha256":"063f53527e2458a8093086cde5858f775d2c53105260e21d4f7b31b2a3bcd5ee","schema_version":"1.0","event_id":"sha256:063f53527e2458a8093086cde5858f775d2c53105260e21d4f7b31b2a3bcd5ee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:II6UXRKDFPN7LEJT72F3DJPO65","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Review Representations with User Attention and Product Attention for Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Cunyan Yin, Jiajun Chen, Shujian Huang, Xin-Yu Dai, Zhen Wu","submitted_at":"2018-01-24T05:11:57Z","abstract_excerpt":"Neural network methods have achieved great success in reviews sentiment classification. Recently, some works achieved improvement by incorporating user and product information to generate a review representation. However, in reviews, we observe that some words or sentences show strong user's preference, and some others tend to indicate product's characteristic. The two kinds of information play different roles in determining the sentiment label of a review. Therefore, it is not reasonable to encode user and product information together into one representation. In this paper, we propose a novel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.07861","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":"2026-05-18T00:25:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VzGidYbpU+isMzbtN3BAVfjoGt7R6r3Pw+mmhZJQYB8PXaUQ7rwnw21KZvyH8UdnvoL9/wgLJSYF4R+N8YOSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:59:03.182332Z"},"content_sha256":"8ce8c936e86d56f12d523a17a309929fd73aa0725823d0db457e4c7e38f13555","schema_version":"1.0","event_id":"sha256:8ce8c936e86d56f12d523a17a309929fd73aa0725823d0db457e4c7e38f13555"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/II6UXRKDFPN7LEJT72F3DJPO65/bundle.json","state_url":"https://pith.science/pith/II6UXRKDFPN7LEJT72F3DJPO65/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/II6UXRKDFPN7LEJT72F3DJPO65/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":"2026-05-25T11:59:03Z","links":{"resolver":"https://pith.science/pith/II6UXRKDFPN7LEJT72F3DJPO65","bundle":"https://pith.science/pith/II6UXRKDFPN7LEJT72F3DJPO65/bundle.json","state":"https://pith.science/pith/II6UXRKDFPN7LEJT72F3DJPO65/state.json","well_known_bundle":"https://pith.science/.well-known/pith/II6UXRKDFPN7LEJT72F3DJPO65/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:II6UXRKDFPN7LEJT72F3DJPO65","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":"2d18c21bd95b87087f8ff9aa13cd6eaea6cece78fbca2c6fafd11274db336a97","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-24T05:11:57Z","title_canon_sha256":"f420fad3733b6d0c397bddb01da91a685dae083c08a9f3fd864a4ece0a74ec16"},"schema_version":"1.0","source":{"id":"1801.07861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.07861","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"arxiv_version","alias_value":"1801.07861v1","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.07861","created_at":"2026-05-18T00:25:10Z"},{"alias_kind":"pith_short_12","alias_value":"II6UXRKDFPN7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"II6UXRKDFPN7LEJT","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"II6UXRKD","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:8ce8c936e86d56f12d523a17a309929fd73aa0725823d0db457e4c7e38f13555","target":"graph","created_at":"2026-05-18T00:25:10Z","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":"Neural network methods have achieved great success in reviews sentiment classification. Recently, some works achieved improvement by incorporating user and product information to generate a review representation. However, in reviews, we observe that some words or sentences show strong user's preference, and some others tend to indicate product's characteristic. The two kinds of information play different roles in determining the sentiment label of a review. Therefore, it is not reasonable to encode user and product information together into one representation. In this paper, we propose a novel","authors_text":"Cunyan Yin, Jiajun Chen, Shujian Huang, Xin-Yu Dai, Zhen Wu","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-24T05:11:57Z","title":"Improving Review Representations with User Attention and Product Attention for Sentiment Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.07861","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":"sha256:063f53527e2458a8093086cde5858f775d2c53105260e21d4f7b31b2a3bcd5ee","target":"record","created_at":"2026-05-18T00:25:10Z","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":"2d18c21bd95b87087f8ff9aa13cd6eaea6cece78fbca2c6fafd11274db336a97","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-24T05:11:57Z","title_canon_sha256":"f420fad3733b6d0c397bddb01da91a685dae083c08a9f3fd864a4ece0a74ec16"},"schema_version":"1.0","source":{"id":"1801.07861","kind":"arxiv","version":1}},"canonical_sha256":"423d4bc5432bdbf59133fe8bb1a5eef754e8c46951bbf6d0919eaaab8ea70eb8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"423d4bc5432bdbf59133fe8bb1a5eef754e8c46951bbf6d0919eaaab8ea70eb8","first_computed_at":"2026-05-18T00:25:10.644446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:25:10.644446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/tscPzCnwSTOCruG6LBDFrTidogKn3TBXNnxmBa4BhccI49vLPpiq2gXq5fS7S+u2+gTtaGJ3k3SozyT1dtFCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:25:10.645007Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.07861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:063f53527e2458a8093086cde5858f775d2c53105260e21d4f7b31b2a3bcd5ee","sha256:8ce8c936e86d56f12d523a17a309929fd73aa0725823d0db457e4c7e38f13555"],"state_sha256":"1d71b51ba86e2efb82995e8478bdfb972497fdc7542bdd5338e9e3b28d1a9b0b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1IaxaKZhMqoQ4ZToowRvT4FBXs8KVbMsdN+h50D0ytLgxcnSXb5j35zrMADglmubiZVMwix/sxfa+d7wyN74AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T11:59:03.186204Z","bundle_sha256":"724e12128cd1fcdc13401ecb30ede17fc108723dd74b7bfeaf2f081e1a214550"}}