Proceedings of the 2015 International Conference on Humanities and Social Science Research

A Part of Speech Based Public Opinion Text Classification Method

Authors
Rui Liu, Zhiqiang Wei, Hao Liu, QianQian Fu
Corresponding Author
Rui Liu
Available Online September 2015.
DOI
https://doi.org/10.2991/ichssr-15.2015.46How to use a DOI?
Keywords
Public opinion; Text categorization; Part of speech; Feature extraction
Abstract
An improved text classification algorithm is presented to improve the accuracy and efficiency of the public opinion classification. The algorithm filters the part of speech before feature extraction to decrease the useless feature and then classifies text according to the calculated weight. The experimental results show that the feature extraction of the improved algorithm is more efficient than the previous ones, and the text classification results in different feature dimensions are more accurate, especially in the lower dimensions. Therefore, it has important significance for text classification by analyzing the weight of the part of speech to extract feature and calculate weight before classification.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Humanities and Social Science Research
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2015
ISBN
978-94-6252-115-5
ISSN
2352-5398
DOI
https://doi.org/10.2991/ichssr-15.2015.46How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rui Liu
AU  - Zhiqiang Wei
AU  - Hao Liu
AU  - QianQian Fu
PY  - 2015/09
DA  - 2015/09
TI  - A Part of Speech Based Public Opinion Text Classification Method
BT  - 2015 International Conference on Humanities and Social Science Research
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichssr-15.2015.46
DO  - https://doi.org/10.2991/ichssr-15.2015.46
ID  - Liu2015/09
ER  -