{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CSAAHAAHUZYQTDA6JINWOXVT2D","short_pith_number":"pith:CSAAHAAH","schema_version":"1.0","canonical_sha256":"1480038007a671098c1e4a1b675eb3d0e9560015a5d7cdc860ee16541ab29982","source":{"kind":"arxiv","id":"1811.05145","version":1},"attestation_state":"computed","paper":{"title":"Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aditya Joshi, Satyajit Kamble","submitted_at":"2018-11-13T07:49:02Z","abstract_excerpt":"This paper reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. We compare three typical deep learning models using domain-specific embeddings. On experimenting with a benchmark dataset of English-Hindi code-mixed tweets, we observe that using domain-specific embeddings results in an improved representation of target groups, and an improved F-score."},"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":"1811.05145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-13T07:49:02Z","cross_cats_sorted":[],"title_canon_sha256":"2ae77635653f82cf3d8753611025fa19c535c9b82551c11a55037f4f0163bbd2","abstract_canon_sha256":"5b2c634fa2fb83791cf5003f830a0910a2469d6092c4144b3f33d4e873377340"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:46.802768Z","signature_b64":"bcKhuOUpE/mmq0/eC7yztG05dtW9pJcCUREqUUiMnbKWR+R5sxc42zxZUathydeyIBrDycXAVfc3qPO8hsUyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1480038007a671098c1e4a1b675eb3d0e9560015a5d7cdc860ee16541ab29982","last_reissued_at":"2026-05-18T00:00:46.802381Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:46.802381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aditya Joshi, Satyajit Kamble","submitted_at":"2018-11-13T07:49:02Z","abstract_excerpt":"This paper reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. We compare three typical deep learning models using domain-specific embeddings. On experimenting with a benchmark dataset of English-Hindi code-mixed tweets, we observe that using domain-specific embeddings results in an improved representation of target groups, and an improved F-score."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.05145","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":"1811.05145","created_at":"2026-05-18T00:00:46.802447+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.05145v1","created_at":"2026-05-18T00:00:46.802447+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.05145","created_at":"2026-05-18T00:00:46.802447+00:00"},{"alias_kind":"pith_short_12","alias_value":"CSAAHAAHUZYQ","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"CSAAHAAHUZYQTDA6","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"CSAAHAAH","created_at":"2026-05-18T12:32:19.392346+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/CSAAHAAHUZYQTDA6JINWOXVT2D","json":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D.json","graph_json":"https://pith.science/api/pith-number/CSAAHAAHUZYQTDA6JINWOXVT2D/graph.json","events_json":"https://pith.science/api/pith-number/CSAAHAAHUZYQTDA6JINWOXVT2D/events.json","paper":"https://pith.science/paper/CSAAHAAH"},"agent_actions":{"view_html":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D","download_json":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D.json","view_paper":"https://pith.science/paper/CSAAHAAH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.05145&json=true","fetch_graph":"https://pith.science/api/pith-number/CSAAHAAHUZYQTDA6JINWOXVT2D/graph.json","fetch_events":"https://pith.science/api/pith-number/CSAAHAAHUZYQTDA6JINWOXVT2D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D/action/storage_attestation","attest_author":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D/action/author_attestation","sign_citation":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D/action/citation_signature","submit_replication":"https://pith.science/pith/CSAAHAAHUZYQTDA6JINWOXVT2D/action/replication_record"}},"created_at":"2026-05-18T00:00:46.802447+00:00","updated_at":"2026-05-18T00:00:46.802447+00:00"}