I would like to know if there is any easy way to rank blog articles by counting how many times they have been retweeted / digg'ed / buzz'ed and if there is an existing api for it.
The idea would be to keep important 'stories' at the top of the blog timeline.
Postrank offers a Datamining API that has the functionality that your are looking for,but you have to pay for it.
Related
Hey guys I'm not having an issue with the API directly, but with the documentation. I can make an API request and get the video topic details just fine, but I am looking for a master list of all topics.
According to the documentation the old style of topics that you can see here was depreciated in 2017 and replaced with Wikipedia articles. This is fine and a little better for my use case but I would like to get a list of all options. The documentation says
A list of Wikipedia URLs that provide a high-level description of the video's content.
which is not especially helpful haha. I think I found the Wikipedia Source for all music genres, and it looks like they are just using the "main" genres but I would like to confirm that. I also found this list of topics that looks similar but is from the natural language API documentation instead of the YouTube API documentation.
I could try and brute force it but that would require a considerable amount of effort with no real way to confirm my results. I also found this API but it just returns the top level categories.
I am also really only interested in the music categories.
Having a history of the subscriber count of specific subreddit is data that I need for data analysis.
I found a page which is doing exactly that e.g.: http://redditmetrics.com/r/worldnews
Is there an official endpoint in the reddit api for getting a history of subscriber counts and how the popularity of a subreddit has evolved until now or are there any other reliable ways to do this?
Tracking the data on my own is not an option because I'm interested in subscriber counts in the past and not in the future past.
Unfortunately there's no endpoint for that within the reddit api. One option could be to scrape sites like that for past data (with permission hopefully). And maybe the only other option would be to ask those sites for raw data (who knows, it might work). Good luck!
I am working since last 3 days to find solution about how we can get old data from twitter api around 3 month over limitation of twitter api about 1 week. can some one help me to know best solution.
You cannot get any tweet for the last 3 months apart if you store them in your own database.
The only solution for you would be to pay Twitter GNIP to access historical data.
The Twitter API only provides the most recent tweets for a given search, up to ~3200.
The so-called "firehose" and some datasets are available mostly for research or developer purposes.
There are some services which sell custom datasets, including Twitter itself (which purchased Gnip). The overview by Justin Littman at GWU is rather comprehensive.
I was asked to find Twitter accounts associated with the Dominican Republic (the project had to do with voting). This was a strange request since some twitter accounts have GeoSpatial data associated with the account, we have no idea whether it is accurate.
I wound up searching by hand for keywords that I knew were related: #dominican, #washingtonheights and I hopped along their friends and followers and I found the people I was looking for.
More genereally:
How do I search for Twitter accounts associated with a given topic? How might it be possible to train a bot to identify hashtags relevant to a given topic? And then we can search for those keywords.
#Moderators: This is not really a coding question. If you can think of a better StackExchange, please migrate this!
Since you already have a given Topic i would suggest he following:
Get a couple of Account by Hand by these Hashtags you already mentioned.
Retrieve X tweets for these Accounts
Do some Natural Language Processing of these Tweets to get new ideas for Keywords.
Some things i used in this/similar contex:
tf-idf + NMF to get Topics and then sort by components to retrieve
the topics a user is talking about (user can have multiple topics).
some sort of clustering (your biggest problem here will be the high
sparesity of the data, so PCA could be an option)
use wordnet etc to collect similar keywords
I'm interested in building a simple demo and need a list of top twitter users. Is there a web site that offers a JSON or RSS feed (or otherwise easily parseable list) of the top 1000 twitter users by number of followers. Is there a web site that offers something like this? (I know I can scrape one of the many sites like Twitaholic but I'd rather not bother with that if there is an easier alternative.)
Twitter Counter , they also have a nice REST api that I like. Lady Gaga is #1 of course.
Edit based on comment
Here is a Yahoo Pipe for Top5 which can probably be edited for more
http://pipes.yahoo.com/pipes/pipe.info?_id=10ba4ad51d85cbf06d97236a2a291ac6
http://twittercounter.com/
http://twittercounter.com/pages/api?ref=footer