first-edit lets writers know if they are repeating words -- something that they hate doing.
Editing long documents is a pain. One of the things I check for while reviewing my online drafts is whether I'm using a particular word too many times. I manually use CTRL-F to find words that I think I might have repeated. This process has the risk of me missing out on some duplicate words just because I didn't think of them.
first-edit is therefore a quick way for writers like me to find out if they're using any words too often.
- Have Python installed on your computer.
- Download this repository to your computer, and unzip to a location of your choice.
- Copy-Paste the text document you want to analyze to the location where you unzipped the repository, i.e. the folder containing
first_edit_py2.py
,first_edit_py3.py
andignore_words.csv
. - Depending on the version of Python you have (2 or 3), run the appropriate
first_edit
file. When prompted, type the name of the document you want to analyze.- first-edit currently only works with .txt files.
- See the analysis of your content in
analysis_file.txt
. - If the analysis contains some common words that you want to ignore, you can explicitly specify these words in
ignore_words.csv
. Subsequent runs of first edit will not count these words.