- What did you use it for?
- What where the alternatives you considered?
- What was your overall experience? (eg. data quality or API ease of use)
I know the people who started EventRegistry (same department/institute as me) so I didn't care so much about finding alternatives (I.e I got free access, I think most research users do have free access)
Data quality was mostly ok but some artifacts of the article content extraction (e.g. Something like readability) were present like bits of social media share buttons. Also some updated articles were not marked as updates but rather as new articles (after some threshold of changes).
The API has been improved since I last used it - but I found it a bit unintuitive and complicated at the time (almost a year ago). From my understanding it is a bit engineered in order to prevent users from accidentally doing expensive queries or pulling in too much data. kind of makes it harder to use. But still simple - you get up and running Withings minutes and just refine your queries as you go. API limits were generous and you could always resume work after the limit reset (I was getting historical data rather than following the stream)
I don't see any free public API like twitters mini firehose (10% of traffic for free).
We are also specifically targeting investing, as opposed to a more broad market (for now).
Piglet, tracks top news stories, identifies how domain experts feel about said news stories (as well as general topics), and provides trend, sentiment, and net promoter tracking. We just launched a very rough MVP a few days ago.
If you're interested, on the first of every month, we send a survey. If completed, you will receive the next month free of charge. It's free as long as you keep providing feedback.
In a eU research project we used this http://eventregistry.org/correlate + regression to predict oil barrel prices. We got better initial results than an information market from our partners but project ended and I'm not sure we'll get around to a more thorough analysis and publication of results.
Good luck - I like your idea.
You only handle the news?
It's basically an engine bubble up only the most relevant news. Then get experts opinions on said topics / news.
We are also very close to releasing our financial advisor, based on top of the data. Currently, it's written in python, so we need to make it accessible via the website.
For me, this is machine-curated feeds rather than a form of annotation given no additional information (besides meta-data scrapped and categorised) is displayed. Not quite as catchy, but annotations make me (at least) think of something else.
Note: am passionated about designing to support annotations on media directly.
There is machine-learning in the annotations - categories rely on a (cross lingual) text classifier, entities rely on matching to Wikipedia articles, maybe a bunch of small other things to - I don't know all the details - there are some papers published about it.
Related: it would be cool if there was a directory of public WebSockets offering a variety of real-time data streams.
I'm curious to see this in action but it seems like I have to pay. Any idea what they could be doing?
Feeding tags and dates into a machine learning model to predict future events?
