intense | Intense Toolkit for Universal Windows Platform

Community,

I want to use/subscribe a to a pub-socket on a server that implements ZeroMQ (https://zeromq.org/)

My final product will be a flutter app. It must be running on Android/iOS/Windows/MacOS/Linux/Web. So I'm really careful with the plugin-choice. I do not want to burden myself with an intense amount of platform-specific code, neither do I want to be dependent on plugins that might break under certain conditions on each platform.

I know that there is a ZeroMQ-Plugin, but it has some Unresolved Issues in terms of operability on different platforms. Also I tried to run it on different Windows-machines and it only worked in about 25% of the cases.

Here's the fundamental network-communication between App and Server (see image below).

Is it possible to connect to a ZeroMQ-Publisher-Socket WITHOUT implementing or depending on the C++ compiled file of ZeroMQ? I'm thinking of a Socket or WebSocket, but I'm not even sure if it's technically possible (protocol etc), as I think that ZeroMQ uses it's own protocoll (please verify).

Can I subscribe to a ZeroMQ-Publisher-Socket with Sockets or WebSockets in Flutter? If yes, how? Are there alternatives?

dartzmq/install

Best regards

I am trying to use Google Cloud Natural Language API to classify/categorize tweets in order to filter out tweets that are not relevant to my audience (weather related). I can understand it must be tricky for an AI solution to make a classification on a short amount of text but I would imagine it would at least have a guess on text like this:

Wind chills of zero to -5 degrees are expected in Northwestern Arkansas into North-Central Arkansas extending into portions of northern Oklahoma during the 6-9am window . #arwx #okwx

I have tested several tweets but only very few get a categorization, the rest gets no result (or "No categories found. Try a longer text input." if I try it through the GUI).

Is it pointless to hope for this to work? Or, is it possible to decrease the threshold for the categorization? An "educated guess" from the NLP-solution would be better than no filter at all. Is there an alternate solution (outside training my own NLP-model)?

Edit: In order to clarify:

I am, in the end, using the Google Cloud Platform Natural language API in order to classify tweets. In order to test it I am using the GUI (linked above). I can see that quite few of the tweets I test (in the GUI) gets a categorization from GCP NLP, i.e. the category is empty.

The desired state I want is for GCP NLP to provide a category guess of a tweet text, rather than providing an empty result. I assume the NLP model removes any results with a confidence less than X%. It would be interesting to know if that threshold could be configured.

I assume the categorization of tweets must have been done before, and if there is any other way to solve this?

Edit 2: ClassifyTweet-code:

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