/Measure-Similarity-Between-Arabic-Sentences-using-TF-IDF

Primary LanguageJupyter Notebook

Measure-Similarity-Between-Arabic-Sentences-using-TF-IDF

Get the similarity between tweets against some keywords we write in yaml file

How to use

  1. git clone https://github.com/Ghonem22/Measure-Similarity-Between-Arabic-Sentences-using-TF-IDF.git

  2. change directory to project folder

  3. Create virtual environment conda create -n similarity python=3.9

  4. activate virtaul env conda activate similarity

  5. install requirements pip install -r requirements.txt

  6. edit the keywods in the yaml file

  7. run in terminal python get_similarity.py

  8. the code wil generate csv file with new columns (new column for each keyword)

Data

You can find the data used for testing here "1.text":

https://drive.google.com/drive/u/0/folders/1KWS7me9LYnpwfYywF5bn1dzt-omThrUP