By Sebastian Paulke - Topic modeling has become one of the fundamental steps within the long-form content creation process, superseding the use of keyword clustering. Rellify does it a bit differently than the rest of the generic large language learning models and SEO tools. In this article, we'll look at how Rellify uses topic modeling to create custom Relliverses™, leading to the creation of more relevant content that will resonate with more target customers. Let's dive in!

What is topic modeling?

First, let's go over some of the basic terms. Topic modeling is a machine learning technique used to identify abstract topics or themes present in a collection of documents, articles or text data. It's a way to automatically discover the underlying patterns and structures in textual data without needing prior knowledge of the topics. Rellify uses topic modeling, but we'll get more into that later.

What is keyword clustering?

Keyword clustering is a method used in natural language processing (NLP) and machine learning to organize and group related keywords or terms into clusters or categories. It's part of the topic modeling process.

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By organizing keywords into clusters, you can gain insights into the main topics and themes that are important to your customers. This can help you identify trends, focus on areas of improvement, and provide context understanding for your content. Most importantly, you gain visibility on search engines when you focusing on content, or search terms, that your target audience is interested in. Note that keyword clustering and topic clustering are different. Keyword clustering is a way to bring focus to an individual web page. Topic clustering is a technique for optimizing a group of web pages for better search engine results for a website as well as the individual pages.

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While both topic and keyword clustering have been used for years in, but the tools of modern AI make them much more effective. That's exactly why Rellify's Relliverse™ is a game-changer.

How a custom Relliverse™ uses AI in topic modeling

Wait a second ... what exactly is a Relliverse™? To put it simply, a Relliverse™ is your company-specific AI subject-matter expert. Instead of casting your net into the world wide web of content and hoping to find topics that resonate, a Relliverse™ can tell you exactly what's currently working (and will work) in the realm of content creation by crawling the web for relevant content that caters to your customer's interests. It's a custom-built tool that can quickly and easily be refined to your company's niche.

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Now that we've covered that, let's look at how a Relliverse™ uses AI to model topics — eventually leading to more accurate keyword clustering and better frameworks for building content.

The power of a custom Relliverse™ powered by AI

The all-powerful Google algorithm is mysterious isn't it? How do you make sure you're choosing the right topics and keywords that will not only be seen, but also will resonate with your target audience? It's a question best solved by incorporating tech's latest innovation: AI. Here's an overview of how Rellify uses AI data analysis within the process of topic modeling.

1. Rellify extracts meaningful numerical representations for each article it crawls and then clusters them based on these representations (embeddings).
2. The topic "clustering" itself can be described as "unsupervised learning" with multiple steps. Rellify re-clusters, merges, and refines groups, and remove outliers.
3. Based on these clusters, Rellify builds the topic hierarchy and finally generate names for each topic. This is what you will see as the "Relliverse™.
4. Once Rellify has all the topics organized, we create a keyword list or "keyword vocabulary" for you based on all the keywords gleaned from a set of articles focused on a specific topic. These are determined to be the most important, frequently used, and relevant keywords. Both the "Explore" and "Smart Brief" sections within Rellify provide you with the keywords from your vocabulary, relevant to what you searched and selected.
5. Using AI, these individual keywords can then be grouped within subtopics based on their similar semantics or co-occurrence patterns.

The Rellify difference

By using dynamic learning afforded by AI in the topic modeling process, both within topic and keyword clustering, Rellify is able to produce a much more accurate and relevant framework to build your content with efficiency. We can even use artificial intelligence to build briefs and generate text, if that's your style. To find out more about how the Rellify process a custom Relliverse™ can revolutionize your content creation and get results, contact a Rellify expert today!