{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:NA5HIF6VMEEFXXNDGEUL6ZVADC","short_pith_number":"pith:NA5HIF6V","schema_version":"1.0","canonical_sha256":"683a7417d561085bdda33128bf66a018b83a343fc5c2f4ac534e942e6aa09585","source":{"kind":"arxiv","id":"1810.04502","version":1},"attestation_state":"computed","paper":{"title":"Is your Statement Purposeless? Predicting Computer Science Graduation Admission Acceptance based on Statement Of Purpose","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Diptesh Kanojia, Nikhil Wani, Pushpak Bhattacharyya","submitted_at":"2018-10-09T05:07:51Z","abstract_excerpt":"We present a quantitative, data-driven machine learning approach to mitigate the problem of unpredictability of Computer Science Graduate School Admissions. In this paper, we discuss the possibility of a system which may help prospective applicants evaluate their Statement of Purpose (SOP) based on our system output. We, then, identify feature sets which can be used to train a predictive model. We train a model over fifty manually verified SOPs for which it uses an SVM classifier and achieves the highest accuracy of 92% with 10-fold cross-validation. We also perform experiments to establish th"},"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":"1810.04502","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2018-10-09T05:07:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d8ccc43b73d124415392686b9cf3d1e898a15ea70fe5ca038d42a6271425d1c1","abstract_canon_sha256":"204a4d0ec5a78a808d82404c8427f272397a1e96af43db2819d22d5d3fa6de0e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:39.983816Z","signature_b64":"jcdMeVeJomgyWr/k5iIqo1CTNrJsT+ozOs5DWTHkTiBaxGqJCpKF2YKRg9bxcp6XTxZ6QRAO/OQGaGdbEuyiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"683a7417d561085bdda33128bf66a018b83a343fc5c2f4ac534e942e6aa09585","last_reissued_at":"2026-05-18T00:03:39.983182Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:39.983182Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Is your Statement Purposeless? Predicting Computer Science Graduation Admission Acceptance based on Statement Of Purpose","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Diptesh Kanojia, Nikhil Wani, Pushpak Bhattacharyya","submitted_at":"2018-10-09T05:07:51Z","abstract_excerpt":"We present a quantitative, data-driven machine learning approach to mitigate the problem of unpredictability of Computer Science Graduate School Admissions. In this paper, we discuss the possibility of a system which may help prospective applicants evaluate their Statement of Purpose (SOP) based on our system output. We, then, identify feature sets which can be used to train a predictive model. We train a model over fifty manually verified SOPs for which it uses an SVM classifier and achieves the highest accuracy of 92% with 10-fold cross-validation. We also perform experiments to establish th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04502","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":"1810.04502","created_at":"2026-05-18T00:03:39.983271+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.04502v1","created_at":"2026-05-18T00:03:39.983271+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04502","created_at":"2026-05-18T00:03:39.983271+00:00"},{"alias_kind":"pith_short_12","alias_value":"NA5HIF6VMEEF","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_16","alias_value":"NA5HIF6VMEEFXXND","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_8","alias_value":"NA5HIF6V","created_at":"2026-05-18T12:32:40.477152+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/NA5HIF6VMEEFXXNDGEUL6ZVADC","json":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC.json","graph_json":"https://pith.science/api/pith-number/NA5HIF6VMEEFXXNDGEUL6ZVADC/graph.json","events_json":"https://pith.science/api/pith-number/NA5HIF6VMEEFXXNDGEUL6ZVADC/events.json","paper":"https://pith.science/paper/NA5HIF6V"},"agent_actions":{"view_html":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC","download_json":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC.json","view_paper":"https://pith.science/paper/NA5HIF6V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.04502&json=true","fetch_graph":"https://pith.science/api/pith-number/NA5HIF6VMEEFXXNDGEUL6ZVADC/graph.json","fetch_events":"https://pith.science/api/pith-number/NA5HIF6VMEEFXXNDGEUL6ZVADC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC/action/storage_attestation","attest_author":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC/action/author_attestation","sign_citation":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC/action/citation_signature","submit_replication":"https://pith.science/pith/NA5HIF6VMEEFXXNDGEUL6ZVADC/action/replication_record"}},"created_at":"2026-05-18T00:03:39.983271+00:00","updated_at":"2026-05-18T00:03:39.983271+00:00"}