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Enriching and Clustering Short Text Using KNN

    Authors

    • Ms. Shalika 1
    • Mr. Veepin Kumar 2

    1 Assistant Professor, Department of Computer Applications, KIET Group of Institutions, Ghaziabad, India.

    2 Assistant Professor, Department of Information Technology, KIET Group of Institutions, Ghaziabad, India.

,

Document Type : Research Article

10.47392/irjash.2021.219
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Abstract

Semantic Hashing technique wraps the meaning of short texts into compressed binary codes. So, to find out that whether two short texts are alike or not in their meaning, their binary codes need to be matched. A deep neural network is used for encoding. Bag-of-words representation of texts is used to train the neural network. Unfortunately, the fundamental semantics are not sufficiently captured by the above mentioned form of representation for short texts such as titles, tweets, or queries. We propose adding additional semantic signals to better group short texts using their meaning. More specifically, we procure the co-occurring terms and concepts of every term in the short text via a knowledge database to further enhance the short text. Additionally, we use a k-Nearest Neighbor based approach id for hashing. Multiple experiments provide evidence that by increasing the number of semantic signals, our neural network is better capable to capture the meaning of short texts, which enables various uses like retrieving information, classifying data, and processing of short texts.

Keywords

  • Short Text
  • k-Nearest Neighbor
  • Semantic Enrichment
  • Hashing
  • XML
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International Research Journal on Advanced Science Hub
Volume 03, Special Issue 7S - Issue Serial Number 7
July 2021
Page 111-116
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  • PDF 307.59 K
History
  • Receive Date: 01 January 1970
  • Accept Date: 01 January 1970
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  • Article View: 209
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APA

Shalika, M. and Veepin Kumar, M. (2021). Enriching and Clustering Short Text Using KNN. International Research Journal on Advanced Science Hub, 03(Special Issue 7S), 111-116. doi: 10.47392/irjash.2021.219

MLA

Shalika, M. , and Veepin Kumar, M. . "Enriching and Clustering Short Text Using KNN", International Research Journal on Advanced Science Hub, 03, Special Issue 7S, 2021, 111-116. doi: 10.47392/irjash.2021.219

HARVARD

Shalika, M., Veepin Kumar, M. (2021). 'Enriching and Clustering Short Text Using KNN', International Research Journal on Advanced Science Hub, 03(Special Issue 7S), pp. 111-116. doi: 10.47392/irjash.2021.219

CHICAGO

M. Shalika and M. Veepin Kumar, "Enriching and Clustering Short Text Using KNN," International Research Journal on Advanced Science Hub, 03 Special Issue 7S (2021): 111-116, doi: 10.47392/irjash.2021.219

VANCOUVER

Shalika, M., Veepin Kumar, M. Enriching and Clustering Short Text Using KNN. International Research Journal on Advanced Science Hub, 2021; 03(Special Issue 7S): 111-116. doi: 10.47392/irjash.2021.219

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