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82 hilary mason data-2013-01-08-Bitly Social Data APIs


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Introduction: Bitly Social Data APIs Posted: January 8, 2013 | Author: Hilary Mason | Filed under: blog | Tags: api , bitly , data , dataset | 1 Comment » We just released a bunch of social data analysis APIs over at bitly . I’m really excited about this, as it’s offering developers the power to use social data in a way that hasn’t been available before. There are three types of endpoints and each one is awesome for a different reason. First, we share the analysis that we do at the link level. Every developer using data from the web has the same set of problems — what are the topics of those URLs? What are their keywords? Why should you rebuild this infrastructure when we’ve done it already? We’ve also added in a few bits of bitly magic — for example, you can use the /v3/link/location endpoint to see where in the world people are consuming that information from . Second, we’ve opened up access to a realtime search engine. That’s an actual search engine that retu


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Bitly Social Data APIs Posted: January 8, 2013 | Author: Hilary Mason | Filed under: blog | Tags: api , bitly , data , dataset | 1 Comment » We just released a bunch of social data analysis APIs over at bitly . [sent-1, score-1.217]

2 I’m really excited about this, as it’s offering developers the power to use social data in a way that hasn’t been available before. [sent-2, score-0.552]

3 There are three types of endpoints and each one is awesome for a different reason. [sent-3, score-0.089]

4 First, we share the analysis that we do at the link level. [sent-4, score-0.117]

5 Every developer using data from the web has the same set of problems — what are the topics of those URLs? [sent-5, score-0.274]

6 Why should you rebuild this infrastructure when we’ve done it already? [sent-7, score-0.069]

7 We’ve also added in a few bits of bitly magic — for example, you can use the /v3/link/location endpoint to see where in the world people are consuming that information from . [sent-8, score-0.801]

8 Second, we’ve opened up access to a realtime search engine. [sent-9, score-0.482]

9 That’s an actual search engine that returns results ranked by current attention and popularity. [sent-10, score-0.727]

10 Links are only retained for 24 hours, so you know that anything you see is actively receiving attention. [sent-11, score-0.105]

11 You can test it out with a human-friendly interface at rt. [sent-13, score-0.154]

12 Finally, we asked the question — what is the world paying attention to right now? [sent-15, score-0.578]

13 We have a system that tracks the rate of clicks – a proxy for attention – on phrases contained within the URLs being clicked through bitly. [sent-16, score-0.908]

14 Then we can look and see which phrases are currently receiving a disproportionate amount of attention. [sent-17, score-0.417]

15 We call these “bursting phrases”, and you can access them with the /v3/realtime/bursting_phrases endpoint. [sent-18, score-0.186]

16 It’s analogous to Twitter’s trending topics, but based on attention (what people do), not shares (what they say), and across the entire social web. [sent-19, score-0.767]

17 I’m extremely excited to see what people build with these tools. [sent-20, score-0.275]


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