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I would like to do sentiment analysis on a set of financial news from the S&P 500 for given entities (organization names). However, each news (rows in my dataset) may have more than one entity and I have to do analysis for each entity separately the same news. First, my algorithm should find which entities are present in a specific news and then do sentiment analysis for them.
I would appreciate if someone could help me.
Example of output:
A Ensemble of "Target based sentiment" models worked for a similar use-case that I worked on.
Some of the models that were part of the solution :
