EgyptionCompaniesReviews_Sentiment_analysis

This app was made by Fahd Seddik and developed by our data science team.

This is a Streamlit app for sentiment analysis that we uses two models.

1- XLM RoBERTa Pre-Trained model on Hugging Face for English Sentiment analysis.

2- Arabic Sentiment Analysis model that our team built it from scratch:

  • For a different corporation, we scraped a 67k Arabic reviews. [Facebook, Instagram, Google Play, App Store, Google Maps, and Glassdoor].

  •  Data preprocessing, EDA and trained a various machine learning models.

  • We scrapes Twitter for tweets about a specific company. The tweets are then fed into a model for sentiment analysis.

Interface

Below is a video demo of the app.

screen-capture-2_II3ki1be.mp4

Installation

To be able to use this app, please follow the instructions below. First, you need to install requirements using the following command.

pip install -r requirements.txt

After that, you need to download this pre-trained model from Hugging Face.

from transformers import pipeline
import tokenizers
# this will download 2 GB
nlp = pipeline("sentiment-analysis", model='akhooli/xlm-r-large-arabic-sent')
# Save it in the same app folder
# .save_pretrained(path)
# 'XLM-R-L-ARABIC-SENT' is the folder name of the model
nlp.save_pretrained('XLM-R-L-ARABIC-SENT')

This will produce a folder that has the model. Please include the folder in the same directory as 'app.py'.
In case you want to replace this model with another, you want to download your model and edit the setup_model() function. Implementation is shown below.

def setup_model():
    """
    Setup Model
    """
    #*************************************************
    #  -==EDIT THE LINE BELOW WITH YOUR OWN MODEL==-
    #*************************************************
    nlp = pipeline("sentiment-analysis", model='XLM-R-L-ARABIC-SENT')
    return nlp

Now to run the app, just simply run the command below in a terminal.

streamlit run app.py

About

This project was made by the data science team during our internship at Digital Factory-Banque Misr .