We can see that in social network analysis, marketing, opinion researches sentiment analysis has made serious mark. Web scrapping provides huge data sets and provides making conclusions and that all is making a new era in statistical analysis.
Is there a place for classical macroeconometrics?
I have seen some text analysis for international business, also I can see that for micro problem you can easily use, let say R's RQDA and that topic modeling can have its place in text analysis of any kind.
Also, I do know that in private sector machine learning is applied for forecasting.
But, yet it seems that academia is rigid in that sense.
Preprint Intellectual activity, knowledge, information, data... An at...
Hi.,
Qualitative analysis uses subjective judgment based on non-quantifiable . Qualitative methods are scientific, but are focused more on the meaning of different ... This method is used when seeking richly descriptive information..
For more info..
https://www.jstor.org/stable/1808475
Hi,
I will try to specify the problem.
Machine learning techniques are booming now. Marketing uses advance language processing methods, psychology, and so on.
I now that for commercial purposes there are some great solutions fore forecasting. People use web scrapping techniques and I guess they beside quantitative methods, got use something related to natural language processing.
I can see in this moment intuitively how to use LDA, simple algorithm , to do some topic modeling of some macro problems.
But, I could not find many examples.
Why not do that?
Is there something I cant see?
If someone has found usefull papers related to topic or has some suggestions.....
thanks
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