The table mentioned below is ‘only for information’ purpose;
it gives summary of ‘number of words’ in each category in the matrix,
and they are not the weights. For example, there are total 18 words in ‘Financial Metric’ category
– of which 7 words are ‘Very Important’ and 6 words are ‘ Important’
and 5 words ‘Less so important’. The table is only for broader understanding.
For our Project purpose:
We have divided all words into three categories namely ‘Very Important’,
‘Important’ and ‘Less so important’ - please refer to attachment and the
color coding. The category classification is to allow the student to ascribe a “weight”
to each of the key words. For example, a key word that has been assign
as ‘Very Important’ should have more weight/importance in the sentiment
score than a key word that is ‘Less so important’.
Here’s an illustration of the weight for each of the category.
Very Important -> 2x
Important -> 1x
Less so Important -> 0.5x
Using these weights, the sentiment model score should be more “robust”.
We can advise students to be flexible with weights (while maintaining the
priority order) if they find better correlation/relation among peer group.
Hope this helps. Let me know if you have any questions.
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