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Inconsistent result of news data from Eikon API

Hello,

I was using Eikon's Python API to pull news data and I found that the result from the API is not consistent. When I pull news from the source NS:RTRS, there will be a <p class='tr-slugline'> in which contains the keywords of the news. The problem is the news pulled using get_news_story don't have consistent result on that tag.

E.g. When I pulled the data from news about protest in Paris, the keywords in Eikon Desktop showed FRANCE-PROTESTS/VIOLENCE. But when I pulled the news via Python API, it showed either FRANCE-PROTESTS/VIOLENCE or BC-WORLD or BC-AMERICA.

Could this be possible bug? Or is there any alternative to get these keywords with consistent results?

eikoneikon-data-apipythonworkspaceworkspace-data-apirefinitiv-dataplatform-eikonerrornews
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@4080e5fa-dc1b-4599-b277-73c809e124de the keyword section you are referring to is free text format, and it is difficult to determine the root cause without the news story identifier. Would you please share it?

This one for example, urn:newsml:reuters.com:20181201:nL8N1Y60JK:1

@4080e5fa-dc1b-4599-b277-73c809e124de, I see no difference. Could you please provide a screenshot?

Also, it would be helpful to have a look at your python code.

Hello,

As currently the issue can not be reproduced, we are going to keep the discussion open for another week, in case there are further findings.

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23 0 1 1

I'm not sure why but I don't face the problem anymore. The previous problem was that keywords of several news were shown as BC-WORLD or BC-AMERICA. I'll tell you again if I can replicate this issue. Thank you for your support.

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the issue could not be reproduced

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