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SNET : a statistical normalisation method for Twitter

2016 master's thesis by Phavanh Sosamphan at Unitec Institute of Technology
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SNET : a statistical normalisation method for Twitter

Summary

SNET : a statistical normalisation method for Twitter is a master's thesis[1].

Key Facts

  • SNET : a statistical normalisation method for Twitter's instance of is recorded as a statistical normalisation method for Twitter — instance of (P31): master's thesis[2].
  • SNET : a statistical normalisation method for Twitter was published by a statistical normalisation method for Twitter — publisher (P123): Research Bank[3].
  • SNET : a statistical normalisation method for Twitter's language of work or name is recorded as a statistical normalisation method for Twitter — language of work or name (P407): English[4].
  • SNET : a statistical normalisation method for Twitter's country of origin is recorded as a statistical normalisation method for Twitter — country of origin (P495): New Zealand[5].
  • SNET : a statistical normalisation method for Twitter was published on 2016[6].
  • SNET : a statistical normalisation method for Twitter's main subject is a statistical normalisation method for Twitter — main subject (P921): pattern recognition[7].
  • SNET : a statistical normalisation method for Twitter's main subject is a statistical normalisation method for Twitter — main subject (P921): marketing communications[8].
  • SNET : a statistical normalisation method for Twitter's main subject is a statistical normalisation method for Twitter — main subject (P921): social media[9].
  • SNET : a statistical normalisation method for Twitter's main subject is a statistical normalisation method for Twitter — main subject (P921): X[10].
  • SNET : a statistical normalisation method for Twitter's main subject is a statistical normalisation method for Twitter — main subject (P921): big data[11].
  • SNET : a statistical normalisation method for Twitter's work available at URL is recorded as https://www.researchbank.ac.nz/handle/10652/3508[12].
  • SNET : a statistical normalisation method for Twitter's title is recorded as SNET : a statistical normalisation method for Twitter[13].
  • SNET : a statistical normalisation method for Twitter's author name string is recorded as Phavanh Sosamphan[14].
  • SNET : a statistical normalisation method for Twitter's thesis submitted to is recorded as a statistical normalisation method for Twitter — thesis submitted to (P4101): Unitec Institute of Technology[15].
  • SNET : a statistical normalisation method for Twitter's on focus list of Wikimedia project is recorded as a statistical normalisation method for Twitter — on focus list of Wikimedia project (P5008): NZThesisProject[16].
  • SNET : a statistical normalisation method for Twitter's copyright status is recorded as a statistical normalisation method for Twitter — copyright status (P6216): copyrighted[17].
  • SNET : a statistical normalisation method for Twitter's online access status is recorded as a statistical normalisation method for Twitter — online access status (P6954): open access[18].
  • SNET : a statistical normalisation method for Twitter's thesis committee member is recorded as a statistical normalisation method for Twitter — thesis committee member (P9161): Sira Yongchareon[19].
  • SNET : a statistical normalisation method for Twitter's thesis committee member is recorded as a statistical normalisation method for Twitter — thesis committee member (P9161): Veronica Liesaputra[20].
  • SNET : a statistical normalisation method for Twitter's thesis submitted for degree is recorded as a statistical normalisation method for Twitter — thesis submitted for degree (P13338): Master of Computing[21].

Body

Designation and Status

SNET : a statistical normalisation method for Twitter's instance of is recorded as a statistical normalisation method for Twitter — instance of (P31): master's thesis[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SNET : a statistical normalisation method for Twitter. Retrieved May 3, 2026, from https://4ort.xyz/entity/snet-a-statistical-normalisation-method-for-twitter
MLA “SNET : a statistical normalisation method for Twitter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/snet-a-statistical-normalisation-method-for-twitter.
BibTeX @misc{4ortxyz_snet-a-statistical-normalisation-method-for-twitter_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SNET : a statistical normalisation method for Twitter}}, year = {2026}, url = {https://4ort.xyz/entity/snet-a-statistical-normalisation-method-for-twitter}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SNET : a statistical normalisation method for Twitter — https://4ort.xyz/entity/snet-a-statistical-normalisation-method-for-twitter (retrieved 2026-05-03)

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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 4d ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Instance of → master's thesis
    Publisher → Research Bank
    Title → SNET : a statistical normalisation method for Twitter
    Country of origin → New Zealand
    + 14 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52368|batch #52368]]: Unitec"
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