How to parse live data (comments, gifts) from TikTok live streams? I have already seen games on streams that react to comments or gifts, but I could not find a solution how to do it
How to parse is a bit of complex question. For that you have to closely observe TikTok official services and public live stream data so that you can reverse engineer a way to find the way.
But I think your real intention here is to parse that data and then do some thing creative with it. And for that there are available SDKs around. This TikTok Live Connector gives you parsed live event data like comments and gifts so that you can continue your part.
Cheers mate! Happy coding. Hope this helps for anyone looking :)
Related
YouTube recently forced everyone to the new YouTube studio for live streaming. Per their documentation here https://support.google.com/youtube/answer/2853812?hl=en the only place to setup Multiple Camera angles is on the Events page. However, since their change I can't access Classic Streaming anymore, it just pop ups a message saying
Live Control Room is the new way to go live.
I've tried reaching out to YouTube directly - I'm stuck in a support loop of uselessness. Has anyone else seen this and found a workaround?
Direct email from YouTube:
I just want to make all a clarification regarding your concern why you can't find to stream with multiple camera angles.
Due because of low usage and since it can't be watched on mobile,
multi-camera won't migrate to Live Control Room right now. Rest
assured we are looking for a better version of this product in the
near future.
We also recommend you to send a feedback to our Product team so they
can look into your suggestion.
Thanks for your understanding on this matter. Let me know if you have
other questions.
I am looking into developing an application to transcribe an audio file for me, then it gives me a document with words or phrases and times spoken, just like YouTube does. I could just upload files to YouTube and then get the transcript but I want to use it offline. Anyone to help? Where can I start?
Not sure about Youtube, but I would start with Google Cloud Speech API, and if you're not happy with it, then I'd go through these 5 as well.
Also, bear in mind that Chrome has Web Speech API built in (and most likely Firefox has something similar, but I never had a need to explore that), so if what you're doing is for web, you should check that out too.
Let us know if this helped.
So, I have been told that I will need to integrate some CANbus / J1939 output into a Windows app, and I know nothing about it.
There are vague plans to use an off the shelf device, and capture the output from that.
Since this seems to be a 7 layer model, I am presuming that I need to decode layer 3.
And, at that, I am stuck.
Any links to the correct spec? Other information? Existing free code which will take that data, parse it and stuff it into a MySql database? If there a central site, with forum, where I can better direct such questions? Any good books? Any same data for me to practise decoding? I am drowning in google results, but none greatly help.
take a look here http://www.ixxat.com/sae_j1939_api_en.html?navigation=28834, this is a proprietary API.
I'm challenging myself to write an app I know nothing about in 2 months time and I need some direction. Suppose you wanted to create an awesome iPad app that takes craigslist posts and displays them in a neat fashion. How would I gather the information from craigslist.org using Objective-C/C in xCode? What objects would I be interacting with to create network connections and how would that information be read in? Would I be reading the source code?
Thank you!
Craigslist has RSS feeds, so I suppose you could just get the link, parse the feed, and display it on a table. There are too many examples to count out there on how to do that.
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