Content Analysis in Python (data mining, dictionary analysis, frequency of word analysis)

This script would be written in Python.

It should read in a .csv (pandas?) and then for a column (specified as column_name) in each row perform content analysis based on a dictionary.

This should create a new CSV with categories for each row and frequency counts.

I have already added in sentiment analysis, but am struggling with the dictionary based content analysis.

Skills: Data Mining, Machine Learning, Python, Software Architecture

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About the Employer:
( 4 reviews ) Norwich, United Kingdom

Project ID: #17778124

60 freelancers are bidding on average $33/hour for this job


Hello. I have a masters degree in AI and have worked on sentiment analysis algorithms for Twitter on my thesis. I can share some papers and codes if you are interested and then start your project :)

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(212 Reviews)

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