In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
--------
Question: The primary feed for the analysis collected INLINEFORM0 million tweets containing the keywords 'breast' AND 'cancer'.
Question: How were breast cancer related posts compiled from the Twitter streaming API?

Answer: By using keywords 'breast' AND 'cancer' in tweet collecting process.

Question: We use datasets from the NIST DUC-05, DUC-06 and DUC-07 shared tasks BIBREF7, BIBREF19, BIBREF20. Given a question and a cluster of newswire documents, the contestants were asked to generate a 250-word summary answering the question. DUC-05 contains 1,600 summaries (50 questions x 32 systems); in DUC-06, 1,750 summaries are included (50 questions x 35 systems); and DUC-07 has 1,440 summaries (45 questions x 32 systems).
Question: What dataset do they use?

Answer: datasets from the NIST DUC-05, DUC-06 and DUC-07 shared tasks

Question: We define the Effective Word Score of score x as

EFWS(x) = N(+x) - N(-x),

where N(x) is the number of words in the tweet with polarity score x.
Question: How is effective word score calculated?

Answer:
We define the Effective Word Score of score x as

EFWS(x) = N(+x) - N(-x),

where N(x) is the number of words in the tweet with polarity score x.