{"id":19682552,"url":"https://github.com/abdoufermat5/text-mining-reviews","last_synced_at":"2026-06-17T10:32:09.260Z","repository":{"id":115174473,"uuid":"584243028","full_name":"abdoufermat5/text-mining-reviews","owner":"abdoufermat5","description":"Sentiment Analysis on amazon 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Unlocked Phone Reviews amazon\n\n## clone this repo\n\n```git clone https://github.com/abdoufermat5/text-mining-reviews ```\n\n## Simple way to run the app\nIf you have docker and docker compose installed, \nyou can run the app with the following command:\n\n```docker compose up --build -d```\n\nThen go to [http://localhost:8501](http://localhost:8501)\n\n#### if not started rerun the command again\n\nIf you don't have docker, you can run the app with the following steps:\n\n## install dependencies\n\n```bash pip install -r requirements.txt ```\n\n## download the dataset from kaggle\n\nPS: You don't really need to do this step, because the dataset is already stored in a mongoDB cluster\n\n\u003e [https://www.kaggle.com/datasets/PromptCloudHQ/amazon-reviews-unlocked-mobile-phones](https://www.kaggle.com/datasets/PromptCloudHQ/amazon-reviews-unlocked-mobile-phones)\n\nThen move the csv file to the **data/** folder\n\n## notebooks\n\n\u003e- notebooks/stats_on_other_features.ipynb\n\u003e \u003e here we explore the other features of the dataset\n\u003e \n\u003e- notebooks/preprocessing.ipynb\n\u003e \u003ehere we preprocess the data\n\u003e \n\u003e- notebooks/model.ipynb\n\u003e \u003e here we build different models and compare them\n\n## streamlit app\n\nWe've built a streamlit app to make it easier to understand the data and the models\n\n![streamlit app](./data/assets/home-page.png)\n\nTo run the streamlit app\n\n\u003e go to the deploy folder\n\u003e ```cd deploy ```\n\u003e \n\u003e install local package fermat-helpers\n\u003e ```pip install . ```\n\u003e \n\u003e run the app\n\u003e ```bash streamlit run Accueil.py ```\n\u003e \n\u003e go to the url displayed in the terminal\n\u003e [http://localhost:8501](http://localhost:8501)\n\n\n## Some screenshots of the app\n\n- Visualisation of the data and Stats\n\n![data visualisation](./data/assets/visualisation.png)\n\n- Preprocessing page\n\n![preprocessing](./data/assets/preprocessing-page.png)\n\n- Exploring the models\n\n![models](./data/assets/models.png)\n\n- Predictions\n\n![predictions](./data/assets/predict.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdoufermat5%2Ftext-mining-reviews","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdoufermat5%2Ftext-mining-reviews","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdoufermat5%2Ftext-mining-reviews/lists"}