If you are considering SAS Visual Text Analytics, you may also want to investigate similar alternatives or competitors to find the best solution. Text Analysis Software is a widely used technology, and many people are seeking productive, innovative software solutions with ai text generation and ai text summarization. Other important factors to consider when researching alternatives to SAS Visual Text Analytics include user interface and user experience. The best overall SAS Visual Text Analytics alternative is Altair AI Studio. Other similar apps like SAS Visual Text Analytics are SAP HANA Cloud, Forsta, InMoment Experience Improvement (XI) Platform, and Chattermill. SAS Visual Text Analytics alternatives can be found in Text Analysis Software but may also be in Data Science and Machine Learning Platforms or Experience Management Software.
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
Forsta is the new frontier of Customer Experience and Market Research Technology. Formed in 2021 via the merger of industry leaders Confirmit, FocusVision and Dapresy, our global company powers the richest and most comprehensive set of research and insights solutions, spanning CX, enterprise feedback management, VoC (Voice of the Customer), VoE (Voice of the Employee), Qual, Quant, Data Visualization and more.
Chattermill is an artificial intelligence software that applies artificial neural networks to customer feedback, to learn from data and help make more customer-centric decisions.
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
NVivo is software that supports qualitative and mixed methods research. It's designed to help organize, analyze and find insights in unstructured, or qualitative data like: interviews, open-ended survey responses, articles, social media and web content.
Canvs helps brands understand what their customers are saying—and what to do about it. Powered by AI, Canvs sifts through thousands of open-ended survey responses, reviews, comments, and conversations to quickly surface the themes, trends, emotions, issues, and ideas that matter most. By accelerating speed to insight across qualitative and quantitative data, surfacing the signals that matter most, and elevating the quality of analysis, Canvs empowers research and customer insights teams to move more efficiently and deliver sharper insights, while giving leaders the strategic clarity to make smarter decisions and build deeper customer relationships. With Canvs, brands move from insight to impact—unlocking the clarity needed to create exceptional experiences, smarter strategies, and long lasting customer loyalty.
Dovetail helps teams centralize, organize, analyze, and collaborate on user research data across their organization.
Google Cloud’s Natural Language API helps developers unlock natural language understanding features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, & syntax analysis. We incorporate the best of Google’s technology and research into our API, including the latest advancements in Large Language Models to help developers and practitioners get better insights, better ad targeting, & better recommendations for their users. Through our Natural Language API, developers can access a top-of-the-line content classification model with over 1000 categories that is both scalable across content types and languages and trained on the distilled knowledge of the world wide web.