They may add keywords such

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The concept of word vectors is particularly useful in keyword marketing. When relying solely on manpower, marketers usually need to create a keyword list based on marketing goals in advance. However, with the help of deep learning, companies only need to input some "seed data" into artificial intelligence, "and then these data can search for similar keywords in the vector space. " Sun Min mentioned.

Suppose a travel company is developing a keyword list for potential customers. as "vacation", "vacation", "flight", "cruise", "short-term travel", etc. to the list. At this time, Mastery Natural Language processing artificial list of bahrain whatsapp phone numbers intelligence tools can also determine whether users searching for "Cebu" and "Philippines" intend to travel based on the appropriate context.



In addition, the natural language processing mechanism based on deep learning can perform sentiment analysis more accurately , and can judge based on keywords whether the user has positive or negative feelings at the moment of the search. If the user's search keywords are "Cebu" and "earthquake" instead of "Cebu" and "diving", then artificial intelligence will determine that the user is not a suitable travel marketing target. Sun Min also said: "Through natural language analysis, companies can improve the accuracy of consumer sentiment analysis by 10% to 20% ."