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We have a unique problem that not even large telecom carriers have solved yet. I am hoping I could get some insights from the community on potential solutions since it is probably a weighted distribution problem with matrix multiplication or...
I need a function written and don't have time to do it so I am offering $100 to whoever can write the shortest and most simple example code that accomplishes my goals. I use regular expressions (regex) a lot in my NLP projects. There is a...
After searching for a few hours, I can't find any examples of text-based Neural Networks. Image processing is great and all but NLP is key to what I am building. I tried several versions of what I cloud create for "NetEncoder" and "NetDecoder" to...
I am using WL Twilio service connect here: https://reference.wolfram.com/language/ref/service/Twilio.html I have tested it pretty thoroughly. Everything works great. However, one big problem. How do we set a callback URL? When you send an...
I am trying to dig deeper into the Neural Network algorythims. I have found a couple of posts talking about setting parameters but I must be doing it wrong because I never get any difference in results. Here is what I am trying: c =...
I am testing sequence prediction. If things happen in a specific sequence, what will the likely next step in the sequence be? Computational power should be included in machine learning algorithms but not even Google's "Prediction API" can solve this...
I'm trying to create a simple function that extracts all geolocation information from a given string. Code: In[42]:= deployFindCity = GrammarRules[ { location : GrammarToken["findCity"] :> location }, { ...
I tested the Classify algo's on a big data set of text message conversations between users and business IoT devices. The Neral Net was fantastically more accurate than the rest. It took a long time to run, which is fine. The problem I am facing...
First, does WL support AIML? I know you can run other types of code but is this one of them? If not, I think either WL should adopt some of the logic from AIML for developers to implement or create an AIML interpreter so all we have to do is...
I have this data: { "Exactly why are you text messaging me?"|>, "Why are you texting me?"|>, "How come you text messaging me?"|>, "Why are you sending text messages me?"|>, "Why are you text messaging me?"|>, ...