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Text grouping: a comprehensive guide

IAES International Journal of Artificial Intelligence · Vol. 12 No. 3 (2023) · hlm. 1476–1483

DOI
10.11591/ijai.v12.i3.pp1476-1483
ISSN
2252-8938, 2089-4872
Terbit
2023-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Text keywords have huge variance and to bridge the gap between the country business segment which provides negligible information and the keywords that have a huge longtail it is imperative for us to categorize the queries that provide a middle ground and also serve a few other purposes. The paper will present those in-depth. Query categorization falls into the segment of 'Multi-Class Classification' in the domain of natural language processing (NLP). However, business requirements require the implementation of any technique that could provide as accurate results as possible. So, to solve this problem the paper discusses an amalgamation of approaches like TF-IDF (term frequency-inverse document frequency), neural networks, cosine similarity, transformers-all of which fix specific issues.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 110 tautan kepenulisan bersama · 49 lintas organisasi · menampilkan 40 yang paling banyak terhubung

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  • International Institute of Information Technology
  • Woosong University
  • KIIT University
  • Veer Surendra Sai University of Technology
  • Biju Patnaik University of Technology
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Rudranarayan SenapatiKIIT University9
Sivkumar MishraBiju Patnaik University of Technology6
Seong-Cheol KimWoosong University4
Papia RayVeer Surendra Sai University of Technology4
Arun Kumar SahooInternational Institute of Information Technology4
Rambilli Krishna Prasad Rao NaiduInternational Institute of Information Technology4
S. NarasimhaAfiliasi tidak diketahui3
Sanchita SahayInternational Institute of Information Technology3
Aditya Prasad MahapatraInternational Institute of Information Technology2
Bishweashwar SuklaInternational Institute of Information Technology2
K. M. HarikrishnanInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Sandip Ranjan BeheraInternational Institute of Information Technology2
Arul Kumar DashInternational Institute of Information Technology2
Prajna Jeet OjhaInternational Institute of Information Technology2
Lingam YashwanthInternational Institute of Information Technology2
Peesodi UdayInternational Institute of Information Technology2
Bhabesh RoutrayInternational Institute of Information Technology2
Nitesh PattanayakInternational Institute of Information Technology2
Priyansu ShekharInternational Institute of Information Technology2
Pratyus Ranjan BeheraInternational Institute of Information Technology2
Priyanka raiInternational Institute of Information Technology2
Prince KumarInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Prabin BiswalInternational Institute of Information Technology2
Swayamjyoti SatapathyInternational Institute of Information Technology2
Smruti Susmita SahuInternational Institute of Information Technology2
Chan-Mook JungWoosong University1
Pankaj SharmaWoosong University1
Monalisa PandaInternational Institute of Information Technology1
Debani Prashad MishraInternational Institute of Information Technology1
Sopa Mousumi PatroInternational Institute of Information Technology1
Kalpa Ranjan BeheraWoosong University1
Debani Prasad MishraInternational Institute of Information Technology1
Raj Alpha SwainInternational Institute of Information Technology1
Nisha KediaInternational Institute of Information Technology1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Text grouping: a comprehensive guide</dc:title>
	<dc:creator>Palai, Padarabinda</dc:creator>
	<dc:creator>Agrawal, Kaushiki</dc:creator>
	<dc:creator>Prasad Mishra, Debani</dc:creator>
	<dc:creator>Reddy Salkuti, Surender</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Neural networks; Natural language processing; Query categorisation; Term frequency-inverse document frequency; Transformers</dc:subject>
	<dc:description xml:lang="en-US">Text keywords have huge variance and to bridge the gap between the country business segment which provides negligible information and the keywords that have a huge longtail it is imperative for us to categorize the queries that provide a middle ground and also serve a few other purposes. The paper will present those in-depth. Query categorization falls into the segment of 'Multi-Class Classification' in the domain of natural language processing (NLP). However, business requirements require the implementation of any technique that could provide as accurate results as possible. So, to solve this problem the paper discusses an amalgamation of approaches like TF-IDF (term frequency-inverse document frequency), neural networks, cosine similarity, transformers-all of which fix specific issues.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Woosong University’s Academic Research Funding - 2022</dc:contributor>
	<dc:date>2023-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/21550</dc:identifier>
	<dc:identifier>10.11591/ijai.v12.i3.pp1476-1483</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 12, No 3: September 2023; 1476-1483</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v12.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/21550/13721</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>