10.46243/jst.2023.v8.i12.pp195-207 registered
Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women's Safety in Indian Cities
Resolves to https://www.jst.org.in/index.php/pub/article/view/894
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023.v8.i12.pp195-207
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 736127dc649abac7…
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JournalArticle — an article in a journal · Digital · Visual · en
Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women's Safety in Indian Cities (PrincipalTitle)
Published 2023-12-12
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 8 · issue 12 · pages 195–207
Agents
- C. Gazala Akhtari C. Gazala Akhtari (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2023.v8.i12.pp195-207
Abstract
Women and girls have been experiencing a lot of violence and harassment in public places in various cities starting from stalking and leading to sexual harassment or sexual assault. There have been several studies that have been conducted in cities across India and women report similar type of sexual harassment and passing off comments by other unknown people. The study that was conducted across most popular Metropolitan cities of India including Delhi, Mumbai, and Pune, it was shown that 60 % of the women feel unsafe while going out to work or while travelling in public transport. This work basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. This work also focuses on how a sense of responsibility on part of Indian society can be developed the common Indian people so that they should focus on the safety of women surrounding them. Tweets on Twitter which usually contains images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message amongst the Indian Youth Culture and educate people to take strict action and punish those who harass the women. Twitter and other Twitter handles which include hash tag messages that are widely spread across the whole globe sir as a platform for women to express their views about how they feel while they go out for work or travel in a public transport and what is the state of their mind when they are surrounded by unknown men and whether these women feel safe or not?
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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.2023.v8.i12.pp195-207 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women's Safety in Indian Cities (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: C. Gazala Akhtari C. Gazala Akhtari publisher: Longman Publishers published: 2023-12-12 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 8 · no. 12 · pp. 195–207 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) |
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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) | 110 fields set · sha256 9a698ca49546… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | agents.0.name.family: agents.0.name.given: container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
