Short text review sentiment analysis method based on Target-Aspect-Opinion joint extraction

A sentiment analysis, short text technology, applied in the field of artificial intelligence and deep learning, can solve the problem of unable to solve the overlapping of target words, unable to fully consider the inconsistency of simultaneous extraction tasks, etc.
CN112800184BActive Publication Date: 2021-08-06EAST CHINA NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
EAST CHINA NORMAL UNIV
Publication Date
2021-08-06

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Abstract

The present invention provides a short text review sentiment analysis method based on Target-Aspect-Opinion joint extraction. This invention first pre-processes the short text data set, screens the effective data, then performs pre-annotation work on the data set, and then builds an emotional analysis model based on Target-Aspect-Opinion joint extraction. The joint extraction model proposed by the present invention solves the problem of incomplete recognition caused by separately extracting Target or Aspect in the existing model, and effectively solves the problem of target word overlap by constructing TargetTaggers and Aspect-OpinionTaggers.
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Description

Technical field

[0001] The present invention relates to the technical fields of artificial intelligence and deep learning, in particular to research and analysis related to natural language processing, specifically to sentiment analysis at the attribute level of review text, and to a short text review sentiment analysis method based on Target-Aspect-Opinion joint extraction. . Background technique

[0002] Platforms such as Weibo, forums, and shopping websites provide users with space for information exchange, thus generating a large amount of valuable user comment information. For example, user review data in the automotive field can not only help car manufacturers improve car product design and marketing strategies, but also provide decision-making basis and reference information for users to purchase cars. Therefore, fine-grained sentiment analysis is of great significance to different users. Traditional aspect-level sentiment analysis problems include topic-based senti...

Claims

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