If I want to change bids of 5 keywords in an Adgroup, then does it cost me 5 operations or is there a way to do it in lesser number of operations?
Thank you in advance.
Well, I have found the answer. It would cost me 5 operations and there is no way to reduce this.
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As a company, I upload multiple videos per day.
I want to increase the quota, but I can't offer it to the company because I don't know the cost.
Please tell me how to calculate the cost.
Thanks for your cooperation.
You need to apply for your extension. Do so early it can take a very long time to get a response for me it was three months. Depending up on how much quota that you ask for they may ask you to pay for that. How much you have to pay will be between you and Google there is no documentation of how much they charge for the quota for this api.
I've skimmed through the Keywords Performance Report of the API documentation, and couldn't understand whether it would be possible for me to use this report to determine daily keyword costs.
What I want is basically to be able to look for keyword to an API request result and get the cost associated with it. Is such a thing possible? Am I looking in the right place?
Apparently, it's not possible to do so, since all costs on all Display Network items are listed with a special ID (3000000) in costs, meant to capture all GDN displays.
I am trying to purchase mulitple numbers using c# with the Twilio API. However currently we must purchase one number at one time, It takes a lot of time to purchase 10-15 numbers in the loop.
So how can I pass a list of numbers through API so it takes less time to buy numbers from twilio.
Twilio evangelist here.
Today there is no way to buy numbers in bulk via the API. You have to make one API request per number that you want to buy.
If the library is not performing fast enough for you, first I'd love to know what kind of performance you are seeing and what you expect so I can work on improving the library.
Second, I'd suggest looking at just using the built in .NET HTTP client libraries instead of using the Twilio library. The library is pretty general purpose and tuned more for ease of use than performance. If you can use .NET 4 or higher, you can use the TPL to get some good perf gains. I've built samples using the HttpClient library and TPL that resulting in substantially higher requests/sec than the library gives me today.
Hope that helps.
I'm working on a project that returns information based on the user's location. I also want to display the user's town in text (no map) so they can change it if it's not accurate.
If things go well I hope this will be more than a small experiment, so can anyone recommend a good reverse geocoding service with the least restrictions? I notice that Google/Yahoo have a limit to the number of daily queries along with other usage terms. I basically need to take latitude and longitude and convert them to a city/town (which I presume cannot be done using the HTML5 Geolocation API).
Geocoda just launched a geocoding and spatial database service and offers up to 1K queries a month free, with paid plans starting at $49 for 25,000 queries/month. SimpleGeo just closed their Context API so you may want to look at Geocoda or other alternatives.
You're correct, the browser geolocation API only provides coordinates.
I use SimpleGeo a lot and recommend them. They offer 10K queries a day free then 0.25USD per 1K calls after that. Their Context API is what you're going to want, it pretty much does what is says on the tin. Works server-side and client-side (without requiring you to draw a map, like Google.)
GeoNames can also do this and allows up to 30K "credits" a day, different queries expend different credit amounts. The free service has highly variable performance, the paid service is more consistent. I've used them in the past, but don't much anymore because of the difficulty of automatically dealing with their data, which is more "pure" but less meaningful to most people.
I was browsing through fflick, nicely made app on top of twitter. How do they
collect millions of tweets?
accurately (mostly) categorize tweets into postive or negative sentiments?
The collect millions of tweets probably by crawler twitter with their API. Probably searching with Streaming API for keywords related to films, or just searching their own timeline looking for what their followers have to say about films.
Don't know. Probably using some natural language processing techniques from good old AI textbooks. :-)
2) look for smileys - ;), :), :D, :(
A few places provide the latter vas a service now. Check out ViralHeat and Evri:
http://www.viralheat.com/home/features
http://www.readwriteweb.com/archives/sentiment_analysis_is_ramping_up_in_2009.php