Elastic Search - Sentiment analysis

How do I identify relevant financial documents based on the
terms/phrases/sentiments present inside the Document ?

eg. Relevant document might contain--> Wall Street hits a new High.
Irrelevant document might contain --> I was walkng on Wall Street and
met an old friend.

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Well, you use a linguistic extraction tool in the processing pipeline to
yield the information you need. It will be indexed together with the
document and may be queried, aggregated, etc.

On 11.02.2015 11:03, Ap wrote:

How do I identify relevant financial documents based on the
terms/phrases/sentiments present inside the Document ?

eg. Relevant document might contain--> Wall Street hits a new High.
Irrelevant document might contain --> I was walkng on Wall
Street and met an old friend.

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Hi Jürgen,

Thanks for the reply. Can you tell me how can the analysis be done to
identify that it was a relevant financial document, say based on terms or
phrases ?

On Wednesday, February 11, 2015 at 2:03:20 AM UTC-8, Ap wrote:

How do I identify relevant financial documents based on the
terms/phrases/sentiments present inside the Document ?

eg. Relevant document might contain--> Wall Street hits a new High.
Irrelevant document might contain --> I was walkng on Wall Street
and met an old friend.

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