4/5/2023 0 Comments Rapidminer studio visulization![]() ![]() Their AutoAI add-on can streamline the process, but it still requires the user to have significant machine learning experience. Much like their Watson Studio, Explorer’s machine learning development is built by the user from the ground up. The platforms integrate with many data science tools, which is perfect for data science teams looking for detailed analysis and specific data sources. The platform offers several visualizations to see trends within your data and draw insight. While Explorer offers some visualization tools along with its core analysis engines, IBM provides the bulk of its text visualization under its Watson Studio product line. “You have to know about the program before you start using it and be a big company to make it worth investing in.” Watson Studio As a self-described “enterprise-ready solution its scaling is robust, but as one reviewer suggests, maybe too much for smaller organizations. Its command-line document classifiers and model tuning are suited for a traditional data scientist rather than your average professional or data enthusiast. Application is pretty easy to install and use with good capabilities.”Īfter its initial setup the product offers several text analytics capabilities and configurations for analysis. Says one client: “The Watson explorer application is quite simple to configure, and the search engine can be scaled to our view with Watson. Looking at their Gartner Peer Insight reviews we see many clients laud Watson Explorer for its setup. They’ve also incorporated a basic-visualization tool, called Content Mining. Now, with their Deep Analytics Edition, they’re moving toward a fully cloud-based system. Originally, Explorer was IBM’s stand alone core engine and could be deployed to both the cloud or on-premise. Watson Explorer is a “cognitive exploration and content analysis platform.” IBM’s customers use Watson Explorer to analyze both structured and unstructured text data in order to drive insights for business. Still, their two main offerings are the core-engine, Watson Explorer, and their visualization tool, Watson Studio. IBM offers a wide range of products, including a tone-analyzer and natural language classifier. IBM is a tech behemoth with a long legacy, and IBM Watson is one of the largest artificial intelligence companies in the world. “Do you have access to the core engine? Yes.” “Do they offer a visualization tool? Yes.” But as you read this article, you’ll come to know the most reliable vendors in our industry and how each differs in unique selling points. Ultimately, no one product fits for every text data-related problem. We’ll also look at some customer insights and compare those insights with corporate messaging. ![]() To evaluate each vendor’s offerings, we’ll examine their visualization tools and core natural language processing (NLP) engines. Here are the top six text analytics vendors to be aware of: But with so many options to choose from, how can you know which text analytics tool is right for your organization? This article aims to help you decide. Clearly, the text analysis market is well-established. Meanwhile, PAT Research list more than 63 vendors in their most recent text analytics software rankings (we’re #4, by-the-by). We’ll illuminate their strengths and weaknesses and clarify the perfect customer for each.Īccording to Markets and Markets, the text analysis industry will be worth $22 billion by 2022. In this article, we’ll examine six top text analytics platforms. Are all text analytics solutions created equal? The short answer is emphatically, “No.” The long answer is that each text analytics platform has a specific offering and an ideal client for their technology.
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