Pure Data VS Google Cloud Natural Language API

For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 3 months ago

Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: 12 months ago

WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago

You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: about 1 year ago

Personally I got started with pure data, which is open source and a good place to learn DSP basics. I think there are even a few wrapper libraries for building things into apps (libpd, mobmuplat, to name a few). Source: about 1 year ago

Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 5 months ago

Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago

Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: almost 1 year ago

We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago

Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago