I must do sentiment analysis on a set of financial news from s&p500 for given entities (organization names), but the problem is that each news (rows in my dataset) may have more than one entity and I have to do analysis for each entity separately in a 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

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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 :

  1. http://sentic.net/sentic-lstm.pdf
  2. https://hal.archives-ouvertes.fr/hal-01537896/document
  3. https://arxiv.org/pdf/1802.05818.pdf

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