Proceedings of the 2018 6th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2018)

Current Status of Tibetan Sentiment Analysis and Cross-Language Analysis

Authors
Li Liang, Fang Tian, Benwang Sun
Corresponding Author
Li Liang
Available Online June 2018.
DOI
10.2991/icmmct-18.2018.64How to use a DOI?
Keywords
Sentiment analysis; Tibetan text; cross-language sentiment analysis; Tibetan sentiment dictionary
Abstract

Summarizes the status of Tibetan text sentiment analysis, and analyzes that its current problems are mainly the deficiency of basic tools for text processing and the lack of annotated sentimental corpus. This paper proposes to apply cross-language techniques to the construction of Tibetan sentiment dictionary and sentiment analysis. Based on the Chinese emotional dictionary and the Tibetan-Chinese dictionary, cross-language techniques are used to establish the mapping between Chinese and Tibetan. The Chinese sentimental resources were migrated to Tibetan and a Tibetan sentiment dictionary was constructed. Comparison of different sentiment classification methods proves the effectiveness of cross-language technology in Tibetan sentiment analysis.

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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Volume Title
Proceedings of the 2018 6th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/icmmct-18.2018.64
ISSN
2352-5401
DOI
10.2991/icmmct-18.2018.64How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Li Liang
AU  - Fang Tian
AU  - Benwang Sun
PY  - 2018/06
DA  - 2018/06
TI  - Current Status of Tibetan Sentiment Analysis and Cross-Language Analysis
BT  - Proceedings of the 2018 6th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2018)
PB  - Atlantis Press
SP  - 324
EP  - 329
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-18.2018.64
DO  - 10.2991/icmmct-18.2018.64
ID  - Liang2018/06
ER  -