Question: Can you suggest a tool that enables multilingual text analysis and topic detection for large datasets?

If you need a tool for multilingual text analysis and topic detection on big data sets, NuMind is a good choice. This machine learning platform lets you create text processing models without programming, and it's good for tasks like sentiment analysis, entity recognition and content moderation. NuMind's multilingual support and high-quality text-understanding models make it a good choice for many use cases, with pricing from a free Hobbyist plan to a custom Enterprise plan.

Another good choice is Speak, an information retrieval system that's designed to efficiently capture and process unstructured language data. Speak supports more than 99 languages and offers AI-powered tools for audio and video transcription, survey analysis and qualitative research support. It also integrates with tools like Zoom and Microsoft Teams, and has flexible pricing that makes it a good choice for market researchers, schools and digital marketers.

If you're looking for a more news-oriented service, AYLIEN offers AI-powered news aggregation and monitoring. It indexes millions of news articles each day and offers multilingual support, entity-based search and real-time data visualization. AYLIEN's advanced search and analysis abilities are geared for companies that need to track global news and offer decision support tools.

Last, MonkeyLearn offers a no-code text analytics tool to help you analyze and visualize customer feedback. It includes machine learning models for text classification and data extraction, and it can perform sentiment analysis and topic classification with customizable charts and visualizations. MonkeyLearn integrates with lots of apps and BI tools, so it's a good choice for business intelligence and data visualization needs.