Ladies, did you know that there are many branches of Artificial Intelligence (AI)? In this article, we'll discuss one of the quite important branches called topic classification.
Topic classification is essentially a text analysis method that focuses on categorizing text into specific labels or classes.
Anything related to text can be analyzed using topic classification, such as tackling spam, categorizing news, and analyzing customer sentiment.
Given its wide range of benefits, this technology is also used by e-commerce for various needs.
To give you an idea, imagine your favorite online store. You love this store because of the high-quality products and responsive customer service. The good quality of products and service always makes you happy when the product arrives.
Until one day, your expensive order doesn't match what you receive.
With emotions running high, you immediately give a low rating to the online store and don't forget to write your disappointment and anger in the review column.
You click the submit button, and the review is sent to the server.
Here’s the Secret!
After your review is received by the server, it is first sorted and evaluated by the topic classification system based on predefined categories.
For instance, if your review includes disappointment with shipping, the system will place it in the "Shipping" category. The same goes for reviews about product quality or customer service like in the case above.
Then, based on the categorization results, the online store can take the necessary actions. For example, if there are complaints about product quality, they can quickly contact the customer to offer a solution or replacement.
In this way, topic classification helps online stores process customer reviews more efficiently and responsively. The online store can quickly identify issues that need to be addressed and provide appropriate responses.
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