A Part of Speech Based Public Opinion Text Classification Method
Rui Liu, Zhiqiang Wei, Hao Liu, QianQian Fu
Available Online September 2015.
- https://doi.org/10.2991/ichssr-15.2015.46How to use a DOI?
- Public opinion; Text categorization; Part of speech; Feature extraction
- 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.
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 -