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.
Turn a 35,000 word MS Word file into an interior design for a 6x9 book, to be submitted back to me in a PDF and an InDesign CS4 Version 6 file, for the purposes of creating an interior file of a book.
I want you to write me an MS word document with 1000 interview Java questions and answers, 1000 C language interview questions and answers, 1000 C++ programming interview questions and answers, 1000 SQL interview questions and answers, 1000 C#.Net interview questions and answers and 1000 Python interview questions and answers. Total 6000 interview questions
school lesson plans for children of 4th grade. content will be given in MS doc. to convert it into a powerpoint presentation. need some one who can do this very often . so if i like your job , this is be once or twice a month job ...