{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7M5SIN4DO7JGQFWSPAR2P5SARI","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":"7c2a66098f6e3a59cfb4810e1db210191674c54d253fe199125e2a187ebe825d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T22:49:48Z","title_canon_sha256":"320f58de404d9a5c86132c8616979d64d302e22d2af8a444eec901d64052c31f"},"schema_version":"1.0","source":{"id":"1810.07653","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.07653","created_at":"2026-05-18T00:02:55Z"},{"alias_kind":"arxiv_version","alias_value":"1810.07653v1","created_at":"2026-05-18T00:02:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.07653","created_at":"2026-05-18T00:02:55Z"},{"alias_kind":"pith_short_12","alias_value":"7M5SIN4DO7JG","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7M5SIN4DO7JGQFWS","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7M5SIN4D","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:719a449eb8551f0bfc77eec131b0bc4e098276f8b4b05e9e3aa90f934181f4ff","target":"graph","created_at":"2026-05-18T00:02:55Z","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":"We propose a method named Super Characters for sentiment classification. This method converts the sentiment classification problem into image classification problem by projecting texts into images and then applying CNN models for classification. Text features are extracted automatically from the generated Super Characters images, hence there is no need of any explicit step of embedding the words or characters into numerical vector representations. Experimental results on large social media corpus show that the Super Characters method consistently outperforms other methods for sentiment classif","authors_text":"Baohua Sun, Charles Young, Jason Dong, Lin Yang, Patrick Dong, Wenhan Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T22:49:48Z","title":"Super Characters: A Conversion from Sentiment Classification to Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.07653","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:c788bbd371021d8a3004aa265a4e136c43755795928f1ceeb5f175cc91a6e22d","target":"record","created_at":"2026-05-18T00:02:55Z","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":"7c2a66098f6e3a59cfb4810e1db210191674c54d253fe199125e2a187ebe825d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T22:49:48Z","title_canon_sha256":"320f58de404d9a5c86132c8616979d64d302e22d2af8a444eec901d64052c31f"},"schema_version":"1.0","source":{"id":"1810.07653","kind":"arxiv","version":1}},"canonical_sha256":"fb3b24378377d26816d27823a7f6408a0e77318af40d30c54f79478d9609d854","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb3b24378377d26816d27823a7f6408a0e77318af40d30c54f79478d9609d854","first_computed_at":"2026-05-18T00:02:55.480563Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:55.480563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jKJQ3VYrwxA29I6CxHI6On+g6gsBAetuSgCyCXq225ARBDE59Ij+fO3/ZB+p2ekXV3HHDJd/sznyQeHuBjkLAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:55.481247Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.07653","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c788bbd371021d8a3004aa265a4e136c43755795928f1ceeb5f175cc91a6e22d","sha256:719a449eb8551f0bfc77eec131b0bc4e098276f8b4b05e9e3aa90f934181f4ff"],"state_sha256":"a48dbd8dfcac23fa00d2c5fc03d921cab43ac4c757302fdaf81837b74f2e1c23"}