NLP Topic Clustering

Online Merchandising and intelligent chat bots rely on understanding a group of terms specific to a given vertical industry: retail clothing would have terms about ‘color’ and ‘size’, for example. The first step in creating a good AI-driven experience is to build what is called an “NLP Topic Cluster”, where all these specific terms are extracted from the body of relevant text, and then a cluster of the relationships between each term is set.

With Interplay®, enterprises no longer have to worry about analyzing huge amounts of data and finding similarities among it. Interplay can be used to create a Natural Language Processing (NLP) topic classification model, which recognizes patterns amongst textual data and classifies it into categories.

NLP topic clustering is a central engine for many AI applications. Using this technology, enterprises can develop informed business strategies by easily analyzing customer feedback grouped into trends, create chatbots that can respond to a wide variety of customer terminologies, and easily conduct accurate competitive analysis.