AnatolyShirykalov / topmine

Implementation of the algorithm detailed in ElKishky, Ahmed, et al. "Scalable topical phrase mining from text corpora."

Форк с поддержкой utf-8 (русских стоп-слов нет)

Зависимостей нет. Работает с python2

Оригинальное readme

This is an implementation of the algorithm detailed in: El-Kishky, Ahmed, et al. "Scalable topical phrase mining from text corpora." Proceedings of the VLDB Endowment 8.3 (2014): 305-316.APA

In order to run the code, simply follow these steps:

• Put the file on which you want to run topmine in the folder named “input”
• Open topmine.py and change the variable named “file_name” to point at the correct file in the “input” folder.
• Change the “num_topic” variable to the desired value (default value is 4).
• Other configuration changes can be made by changing the variable values in files “run_phrase_mining.py” and “run_phrase_lda.py”.
• Run the command “python topmine.py”
• The results should be available after the execution in the “output” folder.

Запуск в две команды

python2 topmine_src/run_phrase_mining.py input/cognitive.txt
python2 topmine_src/run_phrase_lda.py 2 

Здесь input/cognitive.txt пример пути к файлу с тестом. Выходные данные в stdout