10.46243/jst.2024.v9.i01.pp106-115 registered
AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI
Resolves to https://www.jst.org.in/index.php/pub/article/view/27
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2024.v9.i01.pp106-115
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 28bcd0a192a07c05…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI (PrincipalTitle)
Published 2024-01-29
Part of Journal of Science & Technology · ISSN 2456-5660 · pages 106–115
Agents
- Dr.SUBBA REDDY BORRA (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2024.v9.i01.pp106-115
Abstract
In this paper, author describes the concept of predicting insurance policy charges and user opinion sentiment on policies by applying machine learning and artificial intelligence. Machine learning can automatically predict future values by analyzing past historical data, and artificial intelligence will take decision as human brain (as our brain help us in making decision as working hard if marks are less, or taking it easy). Additionally, by analysing male and female BMI index AI and machine learning can predict insurance policies and their charges. This AI and machine learning can also analyze users' opinions or reviews and then it will take decision as whether their opinion is positive, negative, or neutral.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2024.v9.i01.pp106-115 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | AUTOMATING E-GOVERNMENT POLICIES HAND WRITTEN DIGITS RECOGNITION AND TEXT & IMAGE BASED SENTIMENT DETECTION USING AI (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr.SUBBA REDDY BORRA publisher: Longman Publishers published: 2024-01-29 part of: Journal of Science & Technology · ISSN 2456-5660 · pp. 106–115 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
Recommended for a journal article and not in this record: the volume number · the issue number · the reference list.
The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs
History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 50 fields set · sha256 a8aeda4dd27b… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
