Analysis of Network Speech Emotion Based on Text Categorization Algorithm

DOI

10.2991/sser-17.2018.65How to use a DOI?

Keywords

Offensive comment; BoW; SVM; Text classification; Emotional analysis

Abstract

In this paper we present the implementation of methods for text classifying and Detection offensive or hateful comments on online platform. Implementations we started after the article [4], which is described in more detail detection insulting comments. The article describes the process of breakdown and allocation comments on learning and test data. Then we have over these comments (document) model used BoW (bag of words), which is commonly used in document classification. The classification of the comments we have used the algorithm of SVM (support vector machine) based on learning control. Finally, we present the results of the text classification and method improvements

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin Qi
AU  - Guohua Zhan
AU  - Zhihua Li
PY  - 2018/01
DA  - 2018/01
TI  - Analysis of Network Speech Emotion Based on Text Categorization Algorithm
BT  - Proceedings of the 2017 7th International Conference on Social science and Education Research (SSER2017)
PB  - Atlantis Press
SP  - 301
EP  - 304
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-17.2018.65
DO  - 10.2991/sser-17.2018.65
ID  - Qi2018/01
ER  -