I recently faced a problem with bulk uploading training phrases to Dialogflow. Whenever I try to upload training phrases both from .txt and .zip Dialogflow only shows the first 25 phrases.
Has anyone ever faced that issue and knows how to solve it?
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I am trying to use the Computer vision OCR of Azure cognitive service. I can able to do it for computer text in the image but it cannot able to recognize the text when it is a handwriting. I believe somehow there is any other way out to do it, if anybody can help me on it.
OCR does support handwritten recognition but only for English.
Handwritten code sample here: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts-sdk/client-library?tabs=visual-studio&pivots=programming-language-csharp#read-printed-and-handwritten-text
Videoindexer was not picking up the expected keywords. Is there a way to train videoindexer to extract specific keywords?
This customization functionality is not yet available unfortunately. Would be great if you could add this request to our user voice at https://aka.ms/vi-feedback.
You can however update the keywords of a specific video by removing and adding keywords to it via the portal.
I'm working on a music player for the Google Assistant Action. Are there pre-built agents for Intents and Trainingsphases available for languages other than English?
It seems possible to upload a JSON file with intents.
Are there resource available for spanish and/or german intents?
I would suggest you to take Intents from pre-built intents, from each intent fetch the training phrase and translate them into desired language then compile intent of your own.
This process requires interacting with Dialogflow using rest API's.
This reference page will help you understand different required API's.
Also, as you said, it is possible to upload json of intents so maybe convert the translated intents into json file and upload them manually.
I have created and saved weka model that predicts disease according to the symptoms. So i want to integrate that model to a web application. The model should be accessed from the web app. That means user enters the symptoms from the web app and model should predict the result. How to do this. Is there any way to use saved weka model as API?
I could not find a good documentation for the Java API, but I did find some examples of using it in Java. This link will unfortunately be broken soon as it looks like wikispaces is closing down.
After installing chatterbot i have trained the bot for some couple of times through corpus data provided within the chatterbot and also using some of my own conversation list. After that when i trained the bot with some corpus data written by me. Then when i am trying to talk with the bot it is answering from its knowledge base. So if somebody could tell me where can i find this knowledge base data or how can i clear the knowledge base data created by chatterbot
ChatterBot stores the conversational dialog it learns in whatever database you are using it with.
One common way to remove all content from the database is like this:
chatbot = ChatBot("...")
chatbot.storage.drop()
The 'drop' function will empty the content from the database your chat bot is using.