Everyone knows that the analysis of comment data is based on the original comment data, so how to mine and collect these original comments? At this time, everyone will consider the crawler software and go directly to the Internet to crawl the data back. But if you are not a professional data maker, you may not find it. In fact, the data retrieved by many crawlers on the Internet is incomplete. Incomplete data here is usually manifested in the following points:
1. The product link data coverage is not complete. For example, when I searched for "refrigerator", there were about 2,000 links for sale online, but only more than 1,000 were collected. In this case, we can easily find the problem by comparing the number of links between the two. But if you want a link to have reviews, the amount displayed by online searches is the whole, and what you collect is only reviews. At this time, the data is often very different, and you cannot check all of them in a short time. At this time, data sampling is usually used to compare the data. It's just that I randomly found a few links with comments on the Internet to see if they were in our table.
2. The number of customer reviews is not complete. For example, the number of comments on a link shows 3400, but you actually collect only 1000, which is obviously incomplete data. But if you want comments for a week, in order to verify whether the comments are fully covered, then you have to count them by date. It’s okay to have fewer comments, but a link with a lot of comments will work a lot. At the same time, the comments on the Jingdong platform also contain not only normal comments but also hidden comments. We cannot see the corresponding styles of hidden comments online, so if the number of comments cannot distinguish between normal comments and hidden comments, then it is impossible to accurately judge the comment data. Is it complete.
3. The data accuracy rate is not up to standard. The data accuracy rate is nothing more than that the collected data must be consistent with the web page. In addition to the above two points to meet the standards, it also includes whether the promotion information, price, style, etc. are consistent with the webpage. If the basic information is inconsistent, then the data is useless for analysis.
Everyone collects data during working hours, and then analyzes the data according to needs. If the data is collected and it takes a lot of time to compare and verify the accuracy of the data, it must be very distressing. So in response to the above situation, the editor will give you a suggestion. No matter what software you use or what company you cooperate with, don’t fall in love with that one company, and find a few peers for comparison. It's not unreasonable for the old man to shop around. In the data comparison provided by peers, you can easily know which company has more complete and accurate data. Maybe you will say: if you don't give money, people will give you data? Under normal circumstances, as long as you are sincerely looking for a partner company, the third-party company will provide you with a version of the sample according to your needs (reduced version of the requirements, but does not affect the quality test). If a company does not provide samples, but only verbally promises, then everyone should choose carefully.