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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?"|>, ... |