Word frequency analysis of Amazon product titles and Review text: insight into market trends and consumer preferences
In the field of Amazon product portraits, in addition to distribution analysis of reviews, prices, and rankings, word frequency analysis of product listing titles is also particularly important. Word Frequency Analysis reveals hot spots and their changing trends by counting and analyzing the number of occurrences of important words in text data.
Word frequency analysis of product titles
Word frequency analysis objects on the Amazon platform include text information such as review text, product titles, listing five-point descriptions, and A+ graphic content. Among them, word frequency analysis of product titles is particularly critical. By processing the 19,152 listing crawl results in the “Product Portraits” Excel file, split them into 192 separate Excel tables, and named them “Frequencies of Keywords” respectively. Each file corresponds to a different search ranking total. Word frequency analysis results.
For example, “Frequencies Of Keywords 100” represents the title word frequency analysis results of the top 100 product listings in search order; “Frequencies Of Keywords 19 152” covers all products. By comparing the word frequency analysis results under different rankings, we can discover operator habits and market trends.
In addition, Python tools are used to create “forward order dynamic arrangement charts” and “reverse order dynamic arrangement charts”. The former shows the changes in word frequency during the sorting process from small to large, and the latter shows the changes from large to small. process of change. These two charts help identify the differences between medium and long-tail sellers and top sellers, and predict the future direction of the market.
Word frequency analysis of product review text
The same word frequency analysis technology can also be applied to product review text analysis. Take a clothing product with a large number of reviews as an example. After crawling all review texts and removing common function words, the frequency of the remaining adjectives is counted. Use Python visualization technology to generate forward and reverse order dynamic arrangement charts. The former helps identify frequently occurring words in the latest reviews, and the latter reveals high-frequency words in the most popular reviews.
Word cloud chart is a way to visually display the results of word frequency analysis. It reflects the main feelings of consumers by highlighting high-frequency words. For operators of similar products, integrating these high-frequency words into listing keywords and five-point descriptions can improve search exposure and keyword matching.
To sum up, whether it is the product title or review text, detailed word frequency analysis can provide Amazon sellers with valuable market insights and consumer behavior understanding, and then guide their optimization strategies to enhance competitiveness.