Research on the Application and Influence of Sentiment Analysis in Cross-Border E-Commerce Evaluation

Research on Cross-border E-commerce Evaluation Based on Sentiment Analysis

With the development of Internet technology, cross-border e-commerce has become a new choice for people's shopping. However, the quality of goods and services on cross-border e-commerce platforms varies greatly. How to accurately and objectively evaluate these products and services has become an urgent problem to be solved. In recent years, the development of sentiment analysis technology has provided new ideas to solve this problem. This paper will study the cross-border e-commerce evaluation based on sentiment analysis in combination with recent news.

I. Overview of Sentiment Analysis

Sentiment analysis is a natural language processing technique that evaluates the attitude and emotion towards something by analyzing the emotional tendency in the text. In cross-border e-commerce evaluation, sentiment analysis can be applied to product descriptions, user reviews, social media texts, etc., helping enterprises understand consumers' true feelings about products or services, thereby optimizing products and services and improving user satisfaction.

II. Current Status of Cross-border E-commerce Evaluation

Currently, there are some problems with the evaluation systems on cross-border e-commerce platforms. First, the quality of evaluation data varies greatly. Some consumers intentionally give positive reviews to obtain discounts or meet certain conditions, while others give negative reviews due to dissatisfaction. Second, the evaluation system lacks objectivity. Manual review of evaluations is not only inefficient but also easily influenced by subjective factors. The application of sentiment analysis technology will help solve these problems.

III. Practical Applications of Sentiment Analysis

1. Cleaning and Labeling Evaluation Data

Sentiment analysis requires a large amount of labeled data as training material. By cleaning and labeling evaluation data, we can establish the foundation for a sentiment analysis model. Currently, some cross-border e-commerce companies have begun to cooperate with data annotation companies to label user comments, laying the groundwork for the application of sentiment analysis technology.

2. Establishing Sentiment Analysis Models

The sentiment analysis model is the core of sentiment analysis technology. By analyzing factors such as vocabulary, sentence structure, and tone in the text, we can determine the emotional tendency of the text. Currently, the development of deep learning technology provides more possibilities for establishing sentiment analysis models. Some cross-border e-commerce companies have started to try using deep learning models for sentiment analysis to understand consumers' true feelings about products or services.

3. Optimizing Products and Services

By analyzing the results of sentiment analysis, cross-border e-commerce companies can understand consumers' true feelings about products or services and optimize them accordingly. For example, for common issues in reviews, companies can strengthen after-sales service and improve product quality; for products with many positive reviews, companies can increase promotion efforts to attract more consumers.

IV. Summary and Outlook

The research on cross-border e-commerce evaluation based on sentiment analysis has important practical significance and commercial value. Through sentiment analysis technology, cross-border e-commerce can better understand consumers' true feelings about products or services, thus optimizing products and services and improving user satisfaction. In the future, sentiment analysis technology will be more widely used in the cross-border e-commerce field, promoting the healthy development of the cross-border e-commerce industry.

In conclusion, sentiment analysis, as a natural language processing technology, provides new ideas and methods for cross-border e-commerce evaluation. By combining recent news and practical applications, this paper has studied the cross-border e-commerce evaluation based on sentiment analysis. It is hoped that the research in this paper can provide certain reference value for the development of related fields.