Classify Posts, Blogs, Comments, News Articles, and other forms of textual data  into different categories. Machine Learning algorithms are used for Text Classification which will extract meaningful data from these websites. 

Potential Applications: Classification of Text into different Topics, Sentiment Analysis, Identification of Trending Topics

Since every user has a different set of likes and dislikes, Personalization helps you keep your audience engaged and involved with your content. On Social Media, Personalization can be used in targeted messaging, ad targeting, posts, and videos. 

Potential Applications: Ad targeting, User Engagement, Targeted Messaging

Recommendations are algorithmic suggestions made by Machine Learning models for users to follow, pages to subscribe to, posts to read, and products to buy. Through targeted recommendations, one can greatly increase user engagement and retention

Potential Applications: User Engagement, Ad Revenue

Not all search engines are created equal. Having a customized search engine allows users to find content easily on your website. We use Machine Learning models to understand Semantic intent of queries to surface content that is semantically relevant to the user query

Potential Applications: Content Discovery, Semantic Search