{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:4GPPT56JP62RDTLSYEJBLLN6J3","short_pith_number":"pith:4GPPT56J","schema_version":"1.0","canonical_sha256":"e19ef9f7c97fb511cd72c11215adbe4ec0e5fd9deee8c610a2ae85c01ff2a34a","source":{"kind":"arxiv","id":"1806.05507","version":1},"attestation_state":"computed","paper":{"title":"Cold-Start Aware User and Product Attention for Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jihyeok Kim, Reinald Kim Amplayo, Seung-won Hwang, Sua Sung","submitted_at":"2018-06-14T12:48:31Z","abstract_excerpt":"The use of user/product information in sentiment analysis is important, especially for cold-start users/products, whose number of reviews are very limited. However, current models do not deal with the cold-start problem which is typical in review websites. In this paper, we present Hybrid Contextualized Sentiment Classifier (HCSC), which contains two modules: (1) a fast word encoder that returns word vectors embedded with short and long range dependency features; and (2) Cold-Start Aware Attention (CSAA), an attention mechanism that considers the existence of cold-start problem when attentivel"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1806.05507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-14T12:48:31Z","cross_cats_sorted":[],"title_canon_sha256":"20384986ec4a0d807013ed9c1c603b081aa9e61c08b087496ed8f78150439ce3","abstract_canon_sha256":"cd0ccaa166e27cfc1ebbe800679128384f1f06d8cc1dd93ea5905a6b00577cf3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:15.009420Z","signature_b64":"1ECNwJ3PtVFs9Oxsp0jPrZ9CHxn+WXvnWdASmGfockkiDxjHDD/aAc3rf+g/U+JnHhRDBIrQFjxmfy5E9N1NBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e19ef9f7c97fb511cd72c11215adbe4ec0e5fd9deee8c610a2ae85c01ff2a34a","last_reissued_at":"2026-05-18T00:13:15.008769Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:15.008769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cold-Start Aware User and Product Attention for Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jihyeok Kim, Reinald Kim Amplayo, Seung-won Hwang, Sua Sung","submitted_at":"2018-06-14T12:48:31Z","abstract_excerpt":"The use of user/product information in sentiment analysis is important, especially for cold-start users/products, whose number of reviews are very limited. However, current models do not deal with the cold-start problem which is typical in review websites. In this paper, we present Hybrid Contextualized Sentiment Classifier (HCSC), which contains two modules: (1) a fast word encoder that returns word vectors embedded with short and long range dependency features; and (2) Cold-Start Aware Attention (CSAA), an attention mechanism that considers the existence of cold-start problem when attentivel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.05507","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1806.05507","created_at":"2026-05-18T00:13:15.008865+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.05507v1","created_at":"2026-05-18T00:13:15.008865+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.05507","created_at":"2026-05-18T00:13:15.008865+00:00"},{"alias_kind":"pith_short_12","alias_value":"4GPPT56JP62R","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"4GPPT56JP62RDTLS","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"4GPPT56J","created_at":"2026-05-18T12:32:05.422762+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3","json":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3.json","graph_json":"https://pith.science/api/pith-number/4GPPT56JP62RDTLSYEJBLLN6J3/graph.json","events_json":"https://pith.science/api/pith-number/4GPPT56JP62RDTLSYEJBLLN6J3/events.json","paper":"https://pith.science/paper/4GPPT56J"},"agent_actions":{"view_html":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3","download_json":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3.json","view_paper":"https://pith.science/paper/4GPPT56J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.05507&json=true","fetch_graph":"https://pith.science/api/pith-number/4GPPT56JP62RDTLSYEJBLLN6J3/graph.json","fetch_events":"https://pith.science/api/pith-number/4GPPT56JP62RDTLSYEJBLLN6J3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3/action/storage_attestation","attest_author":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3/action/author_attestation","sign_citation":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3/action/citation_signature","submit_replication":"https://pith.science/pith/4GPPT56JP62RDTLSYEJBLLN6J3/action/replication_record"}},"created_at":"2026-05-18T00:13:15.008865+00:00","updated_at":"2026-05-18T00:13:15.008865+00:00"}