Is there any way that we can plot the query result from IBM Graph DB to a graph representation?
IBM graph has UI for basic plotting of nodes and edges. feel free to reach out to us on our public slack for help there: http://ibm-graph-slackinvite.mybluemix.net/
this may be helpful: https://cambridge-intelligence.com/keylines/ibm-graph/
there are also multiple graphing utilities you can implement, but you have to do the work of mapping the graph..etc (ex: https://bl.ocks.org/mbostock/4062045) you choice would also depend on how much you are trying to display and what you are trying to do (ex: zooming, clustering, filtering, calculations to best show the graph...etc). feel free to come to the public slack channel i mentioned and we can help ya with our experience.
Related
I am trying to find Landing Spaces as well as Intermediate Landings for Ramps using Revit API, for a few of my models. So far I have tried to find Start and Endpoints of the ramp using location parameters as mentioned in the following blog space (How to find start/end of ramp in revit, perhaps with sketches?) , but it seems that this parameter is unavailable in the models I am trying to use.
I tried to explore any other way using Revit API functionalities but with no visible success so far. Also, I am new to Revit Api's and as such have a limited understanding of what features are available in API.
Can someone help me Identify Ramp Landings or Ramp endpoints?
Ramp Location
Ramp Property Pallete
I see three possible approaches:
Location
Sketch
Geometry
Using the Location property, casting it LocationCurve and grabbing the endpoints from that as suggested in the other discussion you link to would be the optimal solution.
Another approach mentioned in that thread is to use the sketch defining the ramp to determine its start and end points. Getting hold of the sketch elements is not completely trivial, but absolutely doable, as explained in The Building Coder discussions on
Stable Reference Relationships
Retrieving and Snooping Dependent Elements
If all else fails, the final alternative would be to grab and analyse the ramp geometry to deduce the required information from that.
I've proposed a title for our thesis, Movie Success Prediction through Social Media comments using Sentiment Analysis, is there a way you can get the comments on social media (twitter, Instagram, Facebook etc.) and use it for your software? like an API or any other way. is that even possible to use your software on different social media to get the comments for prediction or should i change my title and stick to one social media like Facebook or twitter only?
what's the good algorithm for this?
what programming language and framework/IDE should i use?
I've done lots of research on google and still hoping for more info here. Thank you.
Edit: I'll only use YouTube and YouTube API.
From the title of your question, it seems that the method you need to use is distant supervision. You need to retrieve data with labels you think it is proper for your task. For instance, a tweet containing #perfect hashtag would probably be a positive tweet. So, you can define set of hashtags for your task, negative, positive or even for neutral; then you can retrieve tweets by those via Twitter API. For your task, those should be for movies, therefore your data should contain movie related information in first place.
Given that you will deal with text data and you'd like to create your own dataset, it is better to start with Twitter. Its API works for your needs and it is very well-documented. The language and frameworks are upto your choice, since APIs supports many known languages as well. Personally, I'd start with python or java to quickly solve future problems easier with community support.
For a general survey of this area, you may dive into papers and resources from here:
https://scholar.google.com.tr/scholar?hl=en&q=distant+supervision+sentiment+analysis
Distant supervision could be used to create a sentiment lexicon out of millions English tweets by using sets of negative and positive hashtags as well. You may take a look at Chapter 5 of this thesis ( https://spectrum.library.concordia.ca/980377/1/Ozdemir_MCompSc_F2015.pdf ), this may also give a good insight for your thesis, too.
Hope this helps.
Cheers
I am trying to create an app that will help users find restaurants/movie theaters/malls/etc. to hang out based on ratings and distance. Other than just the place itself, I would also like to know more detailed information about the place. For example, if I were to look for parks, I would also like to know if theres a basketball or tennis court there. Ratings and popularity would also be an important aspect to prioritize suggestions.
After looking through all three of the APIs, I could not really find any substantial differences other than their search limits. Could anyone really differentiate each API for me? Maybe even recommend one based on my specific need?
Thanks!
The Foursquare API would fit this use case perfectly because you can supply very specific filters through the API. Also, they have extensive coverage around the world, unlike Google or Yelp.
I would check out the venues/explore endpoint and use a categoryId of Parks. You can use a query parameter of "basketball" or "tennis" to find parks that have courts for these.
So here's my question. Supposing that one is about to create an online web appliation that takes as user input a current location and a location for destination, and displays as a result one of the 5-6 available routes that are stored in a database that is most suitable in terms of distance,and Open Street Map data and Open Layers are used which would be the best way to make this happen?
What I am asking for is what would I need for:
1.Storing the data in database
2.Do the routing calculations. If I would like to change a bit the algorithms for academic reasons and have more control of my final result how would I do that? Do I need any programming language? Any good tutorials?
3.What is the difference between using pgRouting and using any custom solution(like mentioned above)? Doing the all the coding again by myself would be like reinventing the wheel?
4.What would be best for a commercial website, where fast calculations would be needed?
UPDATE: What I need is a way to connect 1.user input(as geometry points) 2.Routing algorithm I have written 3.Road Network and return a result in terms of best way to go to a point
Please see the list of online routers and offline routers for OSM as well as the general wiki page about routing with OSM.
If that still doesn't answer your questions, ask a more specific one.
I need to create whole-sky maps, but Google Earth in Sky mode has limited "zoom out." Is it possible to create an orthographic map projection with Google Earth (or, for that matter, MS Virtual Earth)? Really any of the standard projections will do, although it would be nice to have options.
Of course, I could render the projection statically and then paint my KML layer on top of it, but the ideal use-case would allow the user to add additional KML layers, zoom in and out, etc.
No they don't. This was a bone of contention in a series of articles I wrote just over a year ago. I wasn't after an orthographic projection, but equal area projections. People insist on plotting geostatistical data on non-equal area projections, mainly because they don't know any better and/or Google Maps, Bing Maps, etc do not offer any alternatives.
my demo of how it should be done used OpenLayers which can support various different map projections.
I haven't seen OpenLayers being used for star maps, but I can't see any fundamental reasons why it should not work. Also the star data is generally available in the public domain, I believe.