Mention some of the applications of text classification?

Text classification can be used in many cases in real world applications. Also, they are helpful in solving problems like time management and they prove to be very efficient in such cases.

They can be useful in platforms such as E-commerce, news agencies, content curators, blogs, etc by tagging content or products using categories as a way to improve browsing or to identify related content on a website.

They are helpful in automating CRF tasks. The text classifier is highly customizable and can be trained accordingly. The CRM tasks can directly be assigned and analyzed based on importance and relevance. It reduces manual work and thus is high time efficient.

Text Classification of content on the website can be helpful in crawling a website easily which ultimately helps in SEO. Additionally, automating the content tags on website and app can make user experience better and helps to standardize them. Another use case for marketers would be to research and analyze tags and keywords used by competitors. Text classification can be used to automate and speed up this process.

They can be helpful in social research, non-profit organizations, etc. where they face lot of unstructured text every day and data handling would be much easier if it is standardized by tags or categories.