I am using the Apex Email Services to process inbound emails and search for occurances of date in the email. I am searching for a NLP tool that I can integrate with my Apex class inorder to do the search for the dates. The dates could be in multiple formats.
Any help regarding this would be helpful. TIA.
Related
I've been using Azure Search for indexing products on an eCommerce site. It works for 'Product Matches' using the Search API. I was able to configure the Scoring Profile to get me the results I need from the Search API.
However, I would also like to use the 'Suggestions API' to show the most relevant results as the user types text in the search box. But the results being shown are not most relevant since there is no way to apply scoring functions to the suggestions API.
I would like to boost most relevant products to the top of the suggestions when using the Suggestions API.
Any ideas?
Unfortunately, scoring profiles are not supported in the Azure Search Suggestions API and there is no other built-in way to influence ranking for Suggestions. Please vote for this feature on Azure Search User Voice page to help us prioritize.
I am working on creating a dashboard with web analytics. Here, I need to get most used search keywords in SharePoint online.
I know that I can get top search keywords in Popularity Trends and Search reports. But what I need is getting most used search key words in to a list which I can show them using a data view web part Or any other option.(like web part or java script)
Appreciate if any one can help me.
Thank you
I am having trouble using the new Office 365 Unified API for searching for email. I would really appreciate it if I could get some help.
I get the following error:
{"error":{"code":"ErrorInvalidArgument","message":"The value specified for search scope 'PrimaryMailbox' is invalid."}}
I was able to get the access token for graph.microsoft.com and retrieve all the messages from my inbox by doing a GET to "https://graph.microsoft.com/beta/me/messages".
However, when I add the search parameter $search="Tomcat", I get the error copied above. Any ideas how I can resolve this? Is there any documentation to clarify this? I have searched the Office Dev Center documentation in detail but could not find anything to help with searching in the Unified API. Eventually, I want to use the Unified API to search for users' contacts, calendar entries, OneDrive files, and SharePoint online.
On a related note, I can successfully search for mail messages using the existing Office 365 API by making a GET call to "https://outlook.office365.com/api/v1.0/me/messages". However, I am more interested in the streamlined Unified API approach and hope I can resolve the above issue.
Also, is there a way to search all mailboxes in a single search using either the existing API (https://outlook.office365.com) or the new Unified API (https://graph.microsoft.com/)?
Thanks.
Mohammad
San Jose, CA
The Unified API preview documentation lists all supported query parameters, and $search isn't included. It does support $filter, so you can do some basic searches using that.
The Mail API does support $search, but there is no way to search across multiple mailboxes in one query.
You can use the below conditions for searching in outlook
to search in particular folder(Ex: Drafts,Inbox)--/me/MailFolders/Inbox/messages?$search={1} : where 1 will be your search text
If you want to search in all folders then /me/MailFolders/Allitems/messages?$search={1}: where {1} is the text you want to search
I am using Azure search where it creates index on my database tables and shows results as expected.
Now I have a requirement where I need to find-out what are the words or items users have searched most or what was the pick time for search.
Is it possible to find any such reports with Azure Search?
Either by its portal or using the API or Code?
I'm on Azure Search team, thanks for using the service. Currently it's not possible, however, we understand the importance of this feature and we're working to deliver it. No exact dates yet. For now, you'd have to collect and aggregate the information you need on the client side.
For feature request like this, feel free to use our User Voice page to help us prioritize work: http://feedback.azure.com/forums/263029-azure-search
We are using Microsoft Dynamics CRM but a lack of Google like search engine is crippling our productivity. We have nearly 10 years of data but without a good search engine we end up rediscovering solutions.
I was wondering if it is possible to integrate custom Google search to our MS dynamics CRM? If it is possible, how do I go about solving this problem? Any pointers would be helpful.
You can implement a Google/Web search fairly easily by using an HTML web resource. Just go to the search engine you want to use, type in some search text and search for it. From the search results copy the URL. If I search Google for "bacon", this is the URL I get -
http://www.google.com/#sclient=psy&hl=en&site=&source=hp&q=bacon&pbx=1&oq=bacon&aq=f&aqi=g5&aql=undefined&gs_sm=e&gs_upl=1252l1954l0l5l4l0l0l0l0l238l673l0.3.1l4&bav=on.2,or.r_gc.r_pw.&fp=707818aceea98c40&biw=950&bih=934
In the HTML web resource, you now just need to create a textbox and a search button and wire it up so that when you hit search it generates the URL above replacing "bacon" with whatever was typed in the search box. You can use a javascript window.open(url); to get it to spawn the window with the search results.
Don't know too much regarding a custom Google search, but Leon Tribe (a MVP) has posted a couple of blog posts recently on how to create what he calls a "universal search" facility in CRM - all done using the standard configuration tools within CRM (no custom code required).
It still uses the built in CRM search logic, but rather than searching only across an individual entity, his solution provides an ability to search across multiple entities (including custom ones) from a single search query.
Possibly not the ultimate answer to your problem, but might give you some ideas on something relatively simple to setup, with some degree of improvement, while you investigate more comprehensive options.
The links to his blog posts as follows:
http://leontribe.blogspot.com/2011/06/slightly-more-elegant-codeless.html
http://leontribe.blogspot.com/2011/06/codeless-universal-search-for-dynamics.html