Domain specific syntax based approach for text classification in machine learning context

Alaa Mohasseb; Mohamed Bader-El-Den; Han Liu; Mihaela Cocea

doi:10.1109/ICMLC.2017.8108983

Domain specific syntax based approach for text classification in machine learning context

Alaa Mohasseb, Mohamed Bader-El-Den, Han Liu, Mihaela Cocea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Due to the vast amount of data, searching and obtaining relevant information on the web is a challenging task. Despite that a broad range of classification techniques have been proposed to improve the information retrieval methods, many difficulties are still present because of the continuous increase in the amount of web contents, as well as its diversity. In this paper, we propose a method that automatically identifies and classifies user queries by using a domain specific grammar approach – this approach is based on the grammatical pattern of each type of search query. A framework is developed to test the performance of the proposed method. Experimental results show that our approach leads to accurate identification of different query types.

Original language	English
Title of host publication	2017 International Conference on Machine Learning and Cybernetics (ICMLC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-1538604083
ISBN (Print)	978-1538604069
DOIs	https://doi.org/10.1109/ICMLC.2017.8108983
Publication status	Published - 16 Nov 2017
Event	The 16th International Conference on Machine Learning and Cybernetics (ICMLC) - Ningbo, China Duration: 9 Jul 2017 → 12 Jul 2017

Publication series

Name	IEEE ICMLC Proceedings Series
Publisher	IEEE
ISSN (Electronic)	2160-1348

Conference

Conference	The 16th International Conference on Machine Learning and Cybernetics (ICMLC)
Country/Territory	China
City	Ningbo
Period	9/07/17 → 12/07/17

Keywords

query classification
machine learning text mining
text classification
natural language processing

Access to Document

10.1109/ICMLC.2017.8108983

ICMLC_2017AM
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Accepted author manuscript (Post-print), 205 KB

Cite this

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title = "Domain specific syntax based approach for text classification in machine learning context",

abstract = "Due to the vast amount of data, searching and obtaining relevant information on the web is a challenging task. Despite that a broad range of classification techniques have been proposed to improve the information retrieval methods, many difficulties are still present because of the continuous increase in the amount of web contents, as well as its diversity. In this paper, we propose a method that automatically identifies and classifies user queries by using a domain specific grammar approach – this approach is based on the grammatical pattern of each type of search query. A framework is developed to test the performance of the proposed method. Experimental results show that our approach leads to accurate identification of different query types.",

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author = "Alaa Mohasseb and Mohamed Bader-El-Den and Han Liu and Mihaela Cocea",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 International Conference on Machine Learning and Cybernetics (ICMLC)",

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note = "The 16th International Conference on Machine Learning and Cybernetics (ICMLC) ; Conference date: 09-07-2017 Through 12-07-2017",

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Mohasseb, A , Bader-El-Den, M, Liu, H & Cocea, M 2017, Domain specific syntax based approach for text classification in machine learning context. in 2017 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE ICMLC Proceedings Series, Institute of Electrical and Electronics Engineers Inc., The 16th International Conference on Machine Learning and Cybernetics (ICMLC), Ningbo, China, 9/07/17. https://doi.org/10.1109/ICMLC.2017.8108983

Domain specific syntax based approach for text classification in machine learning context. / Mohasseb, Alaa ; Bader-El-Den, Mohamed; Liu, Han et al.
2017 International Conference on Machine Learning and Cybernetics (ICMLC). Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE ICMLC Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Domain specific syntax based approach for text classification in machine learning context

AU - Mohasseb, Alaa

AU - Bader-El-Den, Mohamed

AU - Liu, Han

AU - Cocea, Mihaela

PY - 2017/11/16

Y1 - 2017/11/16

N2 - Due to the vast amount of data, searching and obtaining relevant information on the web is a challenging task. Despite that a broad range of classification techniques have been proposed to improve the information retrieval methods, many difficulties are still present because of the continuous increase in the amount of web contents, as well as its diversity. In this paper, we propose a method that automatically identifies and classifies user queries by using a domain specific grammar approach – this approach is based on the grammatical pattern of each type of search query. A framework is developed to test the performance of the proposed method. Experimental results show that our approach leads to accurate identification of different query types.

AB - Due to the vast amount of data, searching and obtaining relevant information on the web is a challenging task. Despite that a broad range of classification techniques have been proposed to improve the information retrieval methods, many difficulties are still present because of the continuous increase in the amount of web contents, as well as its diversity. In this paper, we propose a method that automatically identifies and classifies user queries by using a domain specific grammar approach – this approach is based on the grammatical pattern of each type of search query. A framework is developed to test the performance of the proposed method. Experimental results show that our approach leads to accurate identification of different query types.

KW - query classification

KW - machine learning text mining

KW - text classification

KW - natural language processing

U2 - 10.1109/ICMLC.2017.8108983

DO - 10.1109/ICMLC.2017.8108983

M3 - Conference contribution

SN - 978-1538604069

T3 - IEEE ICMLC Proceedings Series

BT - 2017 International Conference on Machine Learning and Cybernetics (ICMLC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - The 16th International Conference on Machine Learning and Cybernetics (ICMLC)

Y2 - 9 July 2017 through 12 July 2017

ER -

Domain specific syntax based approach for text classification in machine learning context

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this