Film comment-oriented naming entity recognition method

A named entity recognition and named entity technology, applied in the field of entity recognition, can solve the problems of losing the meaning of movie critic name recognition, difficult to obtain effects, and affecting the effect of name recognition methods.

Inactive Publication Date: 2018-11-23
GUANGDONG UNIVERSITY OF FOREIGN STUDIES
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AI Technical Summary

Problems solved by technology

[0005] 2. Traditional named entity recognition methods mostly use words as the labeling unit
When the abbreviation or nickname of the person is used for evaluation, the corresponding grammatical rules and word usage rules will also be different, which will greatly affect the effect of the name recognition method ba

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  • Film comment-oriented naming entity recognition method
  • Film comment-oriented naming entity recognition method
  • Film comment-oriented naming entity recognition method

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Embodiment Construction

[0064] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0065] Such as Figure 1-Figure 4 As shown, the present invention provides a method for named entity recognition for movie reviews, including the following:

[0066] 1. Define the named entity types of names in movie reviews: form different tags according to the named entity types of names;

[0067] Preferably, considering that the audience's appellations of actors and directors are generally subjective, pure Chinese names cannot meet the needs of film critics' name recognition. This article observes and summarizes the names of people commonly used in film reviews. Finally, the categories of names are divided into four categories: Chinese name (nr), foreign translated name (nrf), nickname (nrn), and English name (nre). When labeling datasets and predicting names, it is also divided into four categories for labeling. This is because the inte...

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Abstract

The invention discloses a film comment-oriented naming entity recognition method, and belongs to the technical field of entity recognition. The method comprises the following steps of: defining a naming entity type of a name in a film comment; constructing a training data set TrainSet; segmenting a non-marked data set by taking characters as units so as to construct a character matrix, and constructing a mapping dictionary of characters and word vectors by utilizing a skip-gram model in word2vec; generating a naming feature dictionary corresponding to each character; combining word vectors andnaming features of the characters to generate a feature vector matrix for training a name recognition model; constructing a mixed model by utilizing Bi-LSTM and CRF so as to train the name recognition model; and carrying out name recognition on the feature vector matrix through the trained name recognition model, so as to realized film comment name recognition task-oriented name definition, carryout name labeling on character levels during name recognition, obtain name features and combine word vectors obtained via word2vec training with the naming features.

Description

technical field [0001] The invention belongs to the technical field of entity recognition, and in particular relates to a named entity recognition method for movie reviews. Background technique [0002] A movie review is to analyze and comment on a movie's director, actors, shooting techniques, plot, clues, environment, color, etc. With the development and popularization of the Internet, people's discussion of movies has moved from offline to online, resulting in a large number of online movie reviews. [0003] As a kind of main feedback information from the audience, movie reviews have great analytical value. Extracting relevant director and actor names from massive movie reviews can provide information support for various upper-level applications such as movie marketing, celebrity marketing, and character sentiment analysis. However, there is currently no name extraction method specifically for movie reviews. In academia, it is generally believed that name recognition i...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 禤镇宇
Owner GUANGDONG UNIVERSITY OF FOREIGN STUDIES
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