Electricity selling company evaluation emotion classification method based on joint attention mechanism

Abstract

The invention relates to an electricity selling company evaluation emotion classification method based on a joint attention mechanism, and belongs to the technical field of information. The method comprises the four steps of construction and division of an electricity selling company evaluation text data set, model training, model tuning and electricity selling company evaluation sentiment classification. The emotion evaluation classification result obtained by the method can reflect the emotional tendency of the power consumer to the power selling company to a certain extent, and can describe the customer satisfaction and favorable comment of the power selling company in the retail market in a certain sense; the classification result can be used as an important index for evaluating the service quality and credit rating of the electricity selling company, the electricity selling company can be promoted to continuously improve the service quality, optimize the electric power package structure and adjust the electric power price, and benign competition and healthy and stable operation of the electric power retail market are guaranteed.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for evaluating emotion classification of electricity sales companies based on a joint attention mechanism. Background technique [0002] With the reform of domestic electricity marketization in full swing in recent years, the electricity retail market, as an important part of the electricity market, provides electricity sales companies and small and medium-sized electricity users with more flexible retail transactions than wholesale transactions. Way. After purchasing and using electricity from the electricity sales company, small and medium-sized power users will evaluate the benefits of the power package, the handling of electricity deviations, and the service attitude of the electricity sales company. These evaluations are full of rich power users. emotional tendencies. Based on this, analyzing the emotional tendencies of power users in the evaluati...

AI Technical Summary

Problems solved by technology

However, the existing sentiment classification tasks have not been combined with the evaluation data of electricity sales companies in the field of electricity retailing.

[0005] In summary, in terms of emotion classification algorithms, although various algorithms based on deep learning have achieved good results in other fields, most of these algorithms have the problem of single granularity of feature extraction, which does not conform to the rules of human reading comprehension text

In addition, the development of the domestic electricity market is still in its infancy, and the market model is also different from that of foreign countries. At present, there is no efficient and accurate algorithm for emotional classification of the evaluation of electricity sales companies.

Images