Title:
ENTITY SENTIMENT ANALYSIS METHOD AND RELATED APPARATUS
Document Type and Number:
WIPO Patent Application WO/2019/174423
Kind Code:
A1
Abstract:
Disclosed in the present invention are an entity sentiment analysis method and a related apparatus, the entity sentiment analysis method comprising: performing word segmentation processing on a text to be predicted to obtain a part of speech sequence of the text to be predicted and to obtain the vector of each participle in the part of speech sequence of the text to be predicted and the vector of a target entity; and carrying out prediction for the vector of the each participle in the part of speech sequence of the text to be predicted and for the vector of the target entity by means of an entity sentiment analysis model so as to be able to obtain a prediction result about the sentiment tendency of the target entity in the text to be predicted. In the described process, the text to be predicted is subject to word segmentation processing to obtain a the part of speech sequence thereof and to obtain the vector of each participle in the part of speech sequence and the vector of the target entity, instead of manual word selection and extraction of word features, which solves the problem of the accuracy of a sentiment tendency result being affected by manual word selection and provision of word features.
Inventors:
WANG TIANYI (CN)
Application Number:
PCT/CN2019/073665
Publication Date:
September 19, 2019
Filing Date:
January 29, 2019
Export Citation:
Assignee:
BEIJING GRIDSUM TECHNOLOGY CO (CN)
International Classes:
G06F40/20
Foreign References:
| CN104281694A | 2015-01-14 | |||
| CN104298665A | 2015-01-21 | |||
| CN107608956A | 2018-01-19 | |||
| CN107038154A | 2017-08-11 | |||
| KR20160077446A | 2016-07-04 |
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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