Zero is a simple tool for creating a dataset based on a known corpus and desired keywords.<br> To successfully create a dataset, it is necessary to define the corpus, output file, label and keyword/s.
A directory containing one or more .txt documents needs to be selected. Preferably, the document is utf-8 encoded. Also, to avoid memory problems, it is recommended that the selected directory contains more smaller documents than one large one.
The output file must be .CSV format utf-8 encoded, comma delimited.
By defining the label, the class is defined, ie. affiliation of sentences containing the desired keyword.
For a keyword, it is possible to enter one or more words. Each word must be separated by a punctuation mark (preferably a comma)
- Duplicate keyword detection
- Code adaptation for big data