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Priyank Agrawal asked a question
{{::getFormatedLocalTime("2017-08-17T10:28:03.612Z", {without_time: true})}}

How to gather trending news on a topic ?

Let's say we have a community that is interested in a topic such as "marketing and growth" or "DevOps". Every day we want to discover trending news for this community. How to do this keeping the relevance high AND with minimal manual curation?

Some options we have explored

  1. Use a service like Discovery service from Watson. We tried it but didn't find it much relevant. Is there an alternative like Google news?
  2. Follow around 25 Twitter handles or a specific hashtag and analyze thee tweets. Apply some heuristics to check if they contain news and use engagement metrics to guage the quality. Rank all of them to find the winners. (Twitter's engagement may be more on "virality" than "quality")
  3. Subscibe to RSS feeds from various blogs (do they still exist?)
  4. What'd you try?

Any other ideas would be welcome too.

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Potuganti Prudhvi Artificial Intelligence & Data Science excites me
{{::getFormatedLocalTime("2017-09-26T07:29:50.511Z", {without_time: true})}}
I don't know how efficient the following approach would be , but you can scrape some 10-15 websites for articles. Then put up a rule based filter on content after preprocessing to identify relevant articles. You can automate the script to run every morning to give you list of relevant URLs .  If you gotta some time, you can build a semi supervised / unsupervised model to find relevant articles instead of rule based approach.
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