I noticed the Watson API for Personality Insights that can visualize the profile in a cool D3.js chart has been deprecated. What are the plans to support this going forward?
Instead of an API, we have made it available as a client side library. Its available in the sample application code: https://github.com/watson-developer-cloud/personality-insights-nodejs .
"The visualize API is now deprecated and will be removed entirely in a future release. You can use the personality.js JavaScript file that is provided with the sample application to achieve similar results from the client. The textsummary.js JavaScript file provides additional formatting for the results of the service"
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I want to use IBM Watson's recognition service, specifically their waste identifier as shown below. https://developer.ibm.com/technologies/artificial-intelligence/patterns/recycle-with-watson/
It only talks about using it in an iOS application but I want to use it with Dart in Flutter. I am not too clear how to do this so if someone can teach me some of the basics of this that would be great. Btw, I do not want to train a IBM visual recog. model, I want to use the classifier that IBM provides as shown in the link above.
I suggest to start with the Getting Started which shows how to provision the Visual Recognition service. The next step is to either reuse their server application which includes loading the training data or to explore writing your own. See the docs for links to either the API (works with every programming language) or SDKs for some more common programming languages.
There is easy-to-follow API doc to help you to get started with Visual Recognition service.
Flutter has a very good documentation on how to make API calls in their documentation
Not recommended but to help you with the basics - There is an old Flutter package (last updated in 2018) that has Dart code samples to get you started.
A POC in our project uses IBM Watson Discovery services hosted in cloud for natural language analysis but our company wants an on premise solution for natural language analysis instead of cloud based one.
Is it possible to replace IBM Watson discovery API completely with IBM Watson Explorer.
I did some research and found that Explorer does not have Node JS APIs.
Also IBM Watson Explorer Rest API can be used for simpler use cases like searching.
Please help me in this regard as my knowledge on these two tools is limited.
To answer your question in short, yes it can be done.
Watson Explorer does have an API interface and yes it can be integrated with Node JS as well, it does not have a native npm package...I personally have implemented a very complex solution for a very reputed an automotive client using WEX as the Backend and Data Ingestion engine and Node JS on top, acting as the orchestrator and the UI.
You may want to see this post: https://developer.ibm.com/answers/questions/259089/rest-apis-for-wex-search/
> On Linux: {hostname}/vivisimo/cgi-bin/velocity?v.app=api-run
> Windows : {Hostname }/vivisimo/cgi-bin/velocity.exe?v.app=api-run
The api-runner have all the api's listed and one can also test them against the search collections (search collections are the equivalent to a table where the data is ingested and there are a lot of custom configurations which can be applied to make use of, for advance use).
So for using WEX with Node JS, you can make use of the api-runner url's and directly query WEX Engine.
This is how a sample GET query url may look like:
var link1 = 'http://' + WEX_IP + ':9080/vivisimo/cgi-bin/velocity?v.function=query-search&v.username='+username+'&v.password='+password+'&v.app=api-rest&v.indent=true&sources=' + WEX_col_name + '&start=0&num=15&v.app=api-rest&query=sortby:sort_severity%20AND%20sortby:Create_Date_desc%20AND%20Create_Date:>=03/30/2018%20AND%20case_flag:1%20AND%20NOT%20case_flag:0'
Hope this helps.
PS: The WEX API's return data in xml format, so if one is comfortable in xml parsing, one can use that or as in my case, I used xml2json package on node to covert xml to json object and then parse that to display the required fields on the UI.
I know WebkitSpeechRecognition is only available on the chromium browser. However I am wondering how it converts the voice into text?
I tried to monitor the network log from developer console on the Google Chrome and I don't see any network activity. I thought I would send API request to the Google but I really don't.
I cannot find any architectural document on this either.
Does any one has any idea?
to my knowledge, there is no official documentation for the Google Speech API that is used in Chromium, but it has been "reversed engineered" by inspecting Chromium's source code
when you search for it, you should find multiple blogs / tutorials that describe, how the REST API can be used
a good description on how to use it, can be found here
http://blog.travispayton.com/wp-content/uploads/2014/03/Google-Speech-API.pdf
(with regard to the description in the PDF: the mentioned "Speech API V1" is deactivated by now, so only the "Full-Duplex API" can be used)
But note, that you need an API key via Google's Developer Console (for the Speech API); and for that you need to be registered in the Chromium Development Group.
Also, using your own key, as of now, the Speech API it is limited to 50 transactions per day.
On a website I'm building a search for Amazon products. This should display some information on the products I can pick up using their affiliate API. I can look up information on the products using this dependency (which I'm not entirely happy about, because I should probably create my own package from their provided WSDL), but I'm not entirely sure what would be the best way to implement an autocomplete in a searchbox for their products.
I want to load the autocomplete information from my own server rather than one of Amazon's, but I am not certain what the recommended way to do this would be. Through the provided Amazon affiliate API or is there a better way?
As a summary, I am looking for a way where I have a textbox with autocompletion on my website, that uses my own server to do the autocompletion (example.com/search/autocomplete/%QUERY%), which should then call some autocompletion functionality on the Amazon API.
Amazon offers -next to their affiliate API- a webservice which can be used to get their autocomplete information. It can be utilized by calling an URL in the style of:
http://completion.amazon.com/search/complete?search-alias=aps&client=amazon-search-ui&mkt=1&q=canon
Where the contents of q is the query that you want autocompleted.
I created a vanilla JavaScript plugin to integrate the Amazon Autocomplete webservice into a search input.
Fortunately, the Amazon webservice is JSONP enabled so it let you handle the requests via <script> tags and callbacks, which is already implemented in the plugin.
https://github.com/caroso1222/amazon-autocomplete
How to Creat Charts with the Google Chart API in asp.net?
Google is a good place to start...
Google Charts API as ASP.NET 2.0 Server Control
Google Chart Net
Or better yet use the new ASP.NET charting control
ASP.NET Charting Control
Please refer the article on 4guysfromrolla
Creating charts with Google chart API with ASP.NET
ASP.NET Custom Server Control for Google chart
FYI there are plenty of Google Chart API wrapper APIs that will make your life easier in terms of dealing with low-level Google Chart API details. I wrote one the Java side (called charts4j). But there is also at least one wrapper API in the .NET arena.
I am not completely familiar with the ASP .Net stack, but you will probably want to generate the the Google Chart URL server side, and display that URL with your HTML view technology in an image tag. The alternative is to pass the data to the browser and construct the chart URL with javascript, but this is likely to be more tedious and error prone. Hope that helps.
It is not that hard, things to consider are
1. Build up your data table for chart and save it to Json format
2. Use jquery function getJson to retrieve it, then follow google API on how to
Parse Json file, then there is the graph
I built lots of graphs by using this method using C#