Question: I'm looking for a language identification tool that can also perform sentiment analysis and topic extraction, do you know of any?

If you want a full-featured language ID tool that can also do sentiment analysis and topic extraction, MonkeyLearn is a good option. This no-code text analytics tool gives you instant insights into customer feedback with artificial intelligence. You can combine data from multiple sources, filter by date or custom fields, and present the data with customizable charts and visualizations. MonkeyLearn has pre-trained machine learning models for sentiment analysis, entity extraction and topic classification, and integrates with many apps, including Zendesk and Google Sheets.

Another option is Metatext, an NLP model creation platform that automates workflows by classifying text, annotating it and generating new text. It works with multiple languages and is good for customer support, content moderation and extracting information. Metatext has a variety of pricing plans, so it should be adaptable to your business needs, including a basic plan for smaller projects.

For those who need more features, Speak offers a collection of AI tools for analyzing unstructured language data. It includes sentiment analysis and works with more than 99 languages, so it's good for market researchers, teachers and digital marketers. Speak integrates with tools like Zoom and Microsoft Teams, and has flexible pricing, including a pay-as-you-go option.

Last, Anecdote is a customer feedback analytics service that uses its own NLP engine to process feedback from multiple sources. It offers real-time insights and integrates with more than 65 feedback sources, including Slack. Anecdote is particularly good for global customer-centric teams, offering tools for bug analysis, sentiment trends and competitor analysis, and supporting data in multiple languages.