Span-based fine-grained sentiment analysis method

A sentiment analysis, fine-grained technology, applied in the field of sentiment analysis, can solve problems such as the inability to guarantee emotional consistency, the extraction of aspect items, and the inability to use global information
CN112069320AActive Publication Date: 2020-12-11东北大学秦皇岛分校
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
东北大学秦皇岛分校
Publication Date
2020-12-11

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Abstract

The invention provides a span-based fine-grained sentiment analysis method, and relates to the technical field of sentiment analysis. According to the invention, a sentiment analysis model based on aspects is established by selecting a sentiment analysis data set, the sentiment analysis model based on aspects is trained through a loss function and a training data set, and sentiment analysis of thetext is achieved by making the test data set to be subjected to sentiment analysis pass through the trained sentiment analysis model based on aspects. The network model provided by the invention is used for extracting aspects and corresponding sentiment polarities, and the model is a simple and effective joint model for extracting sentence aspects and corresponding sentiment polarities for sentiment analysis tasks. The model uses BERT as word embedding, then uses a loop control unit to extract the representation of each subtask, uses an interaction layer to consider the relationship between them, and finally performs aspect item extraction and sentiment analysis.
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Description

technical field

[0001] The invention relates to the technical field of sentiment analysis, in particular to a span-based fine-grained sentiment analysis method. Background technique

[0002] With the development of the Internet age, social networking based on network platforms has become an indispensable part of people's lives. Users are no longer satisfied with obtaining information unilaterally, but actively create information. More and more users are keen to express their emotions, opinions and attitudes on the Internet, such as sharing their viewing experience of a certain movie on a movie website, expressing their opinions on something on a social network, and sharing their views on a certain thing on a shopping website. Post a review on a product, etc. For a large amount of comment data, it is difficult for people to quickly extract information that is effective for them. Therefore, sentiment analysis (Sentiment analysis) came into being. Sentiment analysis, also k...

Claims

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