Keyword setting and public opinion analysis methods in cross-border e-commerce

Data processing and keyword extraction

In cross-border e-commerce, in order to better understand and analyze consumer feedback, we first need to effectively process the data. The specific steps are as follows:

1. Open the data source “Project Eight Tasks One TOP1 Product Evaluation”.
2. Load data into Power Query and clean the data through a series of operations (such as removing null values, adding custom columns, etc.).
3. Use a specific API to obtain sentiment analysis of user reviews.

After processing the data, the next step is to refine keywords. The choice of keywords is crucial because it directly affects the visibility of the product. Sellers should pay attention to the following points when refining keywords:

• Make sure the keywords match the product characteristics, such as brand, trademark, etc.;
• Consider the search habits of buyers, who generally tend to use short but specific words;
• Choose keywords suitable for local users based on the language characteristics of the target market;
• Use the tools provided by the platform to select highly searched words;
• Refer to stores with better sales and popular product titles;
• Analyze buyer reviews and mine valuable keywords.

Public opinion analysis methods and their applications

Public opinion analysis is an indispensable part of cross-border e-commerce. It helps sellers understand market dynamics and changes in consumer demand. Depending on the needs of specific issues, public opinion analysis in cross-border e-commerce usually includes two methods: content analysis and empirical analysis.

Content analysis

Content analysis is a method of objective and systematic quantitative analysis of information content, aiming to reveal essential facts and trends in the information. Through this method, sellers can gain a deeper understanding of consumers’ true feelings about goods and services, thereby guiding subsequent product improvements and service optimization.

Empirical analysis method

The rule of empirical analysis is to try to summarize certain rules or conclusions through statistical analysis of these cases and related data based on the collection of a large number of actual cases. For e-commerce companies, this means conducting detailed research on various texts (such as chat records, comments, etc.) left by consumers online in order to discover potential business opportunities or existing problems.

To sum up, both the selection of keywords and the analysis of public opinion are all to better serve consumers and enhance product competitiveness. Sellers should continue to pay attention to the latest trends in these two aspects and flexibly use various tools and technical means to achieve their business goals.

The above content is derived from the given article and is generated through integration and fine-tuning.