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Target emovement analysis method, model training method, medium and equipment

A sentiment analysis and target technology, applied in semantic analysis, text database clustering/classification, special data processing applications, etc., can solve the problems that the prediction accuracy needs to be improved, and achieve the effect of improving the prediction accuracy

Active Publication Date: 2020-06-26
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the prediction accuracy of the target sentiment analysis scheme provided by related technologies needs to be improved

Method used

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  • Target emovement analysis method, model training method, medium and equipment
  • Target emovement analysis method, model training method, medium and equipment
  • Target emovement analysis method, model training method, medium and equipment

Examples

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Embodiment Construction

[0069] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.

[0070] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, ap...

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Abstract

The invention relates to the technical field of natural language processing, and provides a target emovement analysis method and device, a target emovement analysis model training method and device, acomputer storage medium and electronic equipment. The target sentiment analysis method comprises the steps of for each word in a to-be-tested statement, obtaining a word vector of the current word, obtaining a text vector used for representing global semantic information of the current word, and obtaining a position vector used for representing position information of the current word in the to-be-tested statement; encoding a word vector, a text vector and a position vector of each word in the to-be-tested statement to obtain a semantic vector of the to-be-tested statement; obtaining a targetvector corresponding to a target word in the to-be-tested statement; and predicting the sentiment polarity category of the target word according to the semantic vector and the target vector. According to the technical scheme, the prediction accuracy of the sentiment polarity category of the target word can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of natural language processing, in particular, to a method and device for Targeted Sentiment Analysis (TSA), a TSA model training method and device, computer storage media and electronic equipment. Background technique [0002] The TSA task is to determine the emotional polarity category of the target word in the sentence, for example, for the sentence "the food in this restaurant is delicious, but the service is relatively poor." The emotional polarity category of the target word "food" is positive , the sentiment polarity category for another target word "service" is negative. [0003] With the development of machine learning techniques, machine learning techniques can be used to solve TSA tasks. In the prior art, a convolutional neural network is used to extract features of the sentence and the target word in the sentence, so as to realize the prediction of the emotional polarity category of the...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06F40/30
CPCG06F16/3344G06F16/35Y02D10/00
Inventor 刘巍
Owner TENCENT TECH (SHENZHEN) CO LTD
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