{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:TBH2ZYSEFVI43EEHSRTTUWAGVE","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":"d5e0f56fda0420855a5effe627bc234290d994888a9ffa4765beae4b596b75b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-24T03:23:38Z","title_canon_sha256":"bf025a2fe8724b6c7d219ffe0099a36e3907469aea0049569d2baf4a4891893a"},"schema_version":"1.0","source":{"id":"1905.01967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01967","created_at":"2026-05-17T23:46:56Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01967v1","created_at":"2026-05-17T23:46:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01967","created_at":"2026-05-17T23:46:56Z"},{"alias_kind":"pith_short_12","alias_value":"TBH2ZYSEFVI4","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"TBH2ZYSEFVI43EEH","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"TBH2ZYSE","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:fc451883050f9d1f64e3cba502de6d795dd41f67676a9fd5f92446a1cb7cd305","target":"graph","created_at":"2026-05-17T23:46:56Z","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 current upsurge in the usage of social media platforms, the trend of using short text (microtext) in place of standard words has seen a significant rise. The usage of microtext poses a considerable performance issue in concept-level sentiment analysis, since models are trained on standard words. This paper discusses the impact of coupling sub-symbolic (phonetics) with symbolic (machine learning) Artificial Intelligence to transform the out-of-vocabulary concepts into their standard in-vocabulary form. The phonetic distance is calculated using the Sorensen similarity algorithm. The pho","authors_text":"Aalind Singh, Erik Cambria, Ranjan Satapathy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-24T03:23:38Z","title":"PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01967","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:c22e86a942a65f4e2f5cac8411890cfcaecc11e899aa154a61c5ba6870945e64","target":"record","created_at":"2026-05-17T23:46:56Z","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":"d5e0f56fda0420855a5effe627bc234290d994888a9ffa4765beae4b596b75b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-24T03:23:38Z","title_canon_sha256":"bf025a2fe8724b6c7d219ffe0099a36e3907469aea0049569d2baf4a4891893a"},"schema_version":"1.0","source":{"id":"1905.01967","kind":"arxiv","version":1}},"canonical_sha256":"984face2442d51cd908794673a5806a93a22d9df2d624da0b837f917d11a13f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"984face2442d51cd908794673a5806a93a22d9df2d624da0b837f917d11a13f8","first_computed_at":"2026-05-17T23:46:56.859769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:56.859769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4S6gwAUoCh/CfN10Axt1st4nQWTraSziDes+5r4wtfZKFOWiSRCs2cDXcaqDm4DGI/AluXUXM6sAZXzKZM4vBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:56.860368Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.01967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c22e86a942a65f4e2f5cac8411890cfcaecc11e899aa154a61c5ba6870945e64","sha256:fc451883050f9d1f64e3cba502de6d795dd41f67676a9fd5f92446a1cb7cd305"],"state_sha256":"44f587638af2b2fbb5cc2df05ccc567ff934bef14d388a6c06e65fcbd3caee75"}