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Characters-based sentiment identification method for short and informal Chinese text

journal contribution
posted on 2018-01-01, 00:00 authored by Q Lan, H Ma, Gang LiGang Li
Purpose: Sentiment identification of Chinese text faces many challenges, such as requiring complex preprocessing steps, preparing various word dictionaries carefully and dealing with a lot of informal expressions, which lead to high computational complexity. Design/methodology/approach: A method based on Chinese characters instead of words is proposed. This method represents the text into a fixed length vector and introduces the chi-square statistic to measure the categorical sentiment score of a Chinese character. Based on these, the sentiment identification could be accomplished through four main steps. Findings: Experiments on corpus with various themes indicate that the performance of proposed method is a little bit worse than existing Chinese words-based methods on most texts, but with improved performance on short and informal texts. Especially, the computation complexity of the proposed method is far better than words-based methods. Originality/value: The proposed method exploits the property of Chinese characters being a linguistic unit with semantic information. Contrasting to word-based methods, the computational efficiency of this method is significantly improved at slight loss of accuracy. It is more sententious and cuts off the problems resulted from preparing predefined dictionaries and various data preprocessing.

History

Journal

Information discovery and delivery

Volume

46

Issue

1

Pagination

57 - 66

Publisher

Emerald Publishing Limited

Location

Bingley, Eng.

ISSN

2398-6247

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2018, Emerald Publishing Limited