Completed

Python Basic NLP project

This project is to be coded in Python 3.

Given an input CSV file that has at least three columns titled annotations, year and field, I would like the code that you will create to count the occurrences of all words and produce two CSV output files.

Example input file (columns will not always be in this order but will always have these three columns. There will always be a header to the CSV file):

annotations | year | field

word1 word2 word3 | 2010 | field1

word3 word4 word5 | 2011 | field2

word1 word5 | 2010 | field1

word1 |2010 | field2

I want you to count the frequency of the words within the column "annotations" given its appearance in a field and year. The output is a CSV file that has the following columns:

word | frequency | year | field | normalised frequency | normalised frequency * 1000 | percentage

As an example output line we would have:

word1 | 2 | 2010 | field1 | 2/5= 0.4| 0.4*1000=400 | 0.6667

The percentage column is based on the number of times the word appears for this field (on this year) given the number of times the word appears overall for that year. Example

Word1 appears two times in field1 and once in field2 in 2010. Therefore it appears .6667 in field1 and .3334 in field2. If we were to add this line in our example file:

word1 |2011 |field2

This line would not affect our results, because the percentages are based on the year.

The second CSV output file is as follows —

word | year1_field1_percentage | year1_field2_percentage | … (as many columns as fields) … | year2_field1_percentage | year2_field2_percentage | … as many columns as fields … (and so on for every year in the input file)

Years columns are to go in ascending order (i.e. 2012_field1_percentage … 2013_field1_percentage … 2014_field1_percentage .. etc)

Skills: Python

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alkarajput3131

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