It also explains the vague advice Google provides

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To sites whose rankings have dropped due to core algorithm changes. Support vectors, or neural networks, come with very comprehensive scores. Therefore, when considering the cause of a particular phenomenon, it is impossible to point to a specific signal or multiple signals. The reason for this is that it is contained in a very complex model and is very abstract. After the calculated model is applied to the ranking of search results, Google will re-evaluate the search results with quality raters. By doing this repeatedly, you can adjust your search results and make them better over time. The signals that Google incorporates into their quality scores are very complex. Let's write it down below. page rank Or its evolutionary signal. It may also include link quality and reliability. User review sentiment Google's quality rating guidelines suggest a certain threshold for the number of reviews. So if a business or website has a relatively low total number of reviews, Google may choose to ignore them because they're very vague and don't accurately represent their status. Google has been researching sentiment analysis for a long time and even holds a patent to do it ( Domain-specific sentiment classification ).

In the past, it was also displayed in local listings (external article: Google Highlights Review Sentiments On Local Place Pages ). Currently, it is not clear whether they use it for ranking (external article: Google Suggests They Use Off-Site Sentiment Analysis For Ranking ). However, in practice, Google has made it clear that it uses India Phone Number emotion (external article: Google Suggests They Use Off-Site Sentiment Analysis For Ranking ). If Google incorporates website reputation into its ranking algorithm, how does it adjust rankings without sentiment analysis? While the calculation of quality ratings is somewhat unclear, sentiment analysis may be a relatively clear target for analysis and specification. mention emotion Are people mentioning your product on social media and in emails? Social media "buzz" is a measure of popularity, and sentiment can similarly be a measure of quality. Click rate (or bounce rate) There has long been a debate about whether click-through rate is a ranking factor.





But if it's used for ad quality scores, shouldn't it also be used for organic search rankings? In the Freedom-of-Information Act of 2012, which was accidentally published by the Wall Street Journal (external article: FTC Google Probe Recommendation ), Google's former Search Quality Chief Woody Manber said: Rankings are influenced by click data. For example, if 80% of users click on the website that appears in second place for a particular query, and only 10% click on the website that appears in first place, then if people want It can be said that it is the website that is displayed in second place.