About

This project aims to perform sentiment analysis on Tokopedia reviews from the Google Play Store using various natural language processing (NLP) tools and libraries. By employing techniques tokenization, and sentiment classification, this project aims to extract and analyze user opinions from app reviews effectively.

Technologies Used

• Programming Languages: Python
• Libraries and Frameworks:
  • gensim==4.3.2
  • google_play_scraper==1.2.7
  • keras==3.4.0
  • matplotlib==3.9.1
  • nltk==3.8.1
  • numpy==2.0.0
  • pandas==2.2.2
  • Requests==2.32.3
  • Sastrawi==1.0.1
  • scikit_learn==1.5.1
  • seaborn==0.13.2
  • tensorflow==2.16.1
  • tensorflow_intel==2.16.1
  • wordcloud==1.9.3

Installation

To run this project locally, follow these steps:

1. Klon repositori ini

   git clone https://github.com/Fqih/SentimentAnalisys.git

2. Navigate to the project directory

   cd DirectoryName

3. Create and activate a virtual environment

   python -m venv env
   
   env\Scripts\activate
   //or 
   source env/bin/activate

4. Install all dependencies

   pip install -r requirements.txt

Usage

You can replace the app ID in the ScrapingSentiment.py to try other apps.

1. Run the script to scrape reviews from the Google Play Store:

   python scrape_reviews.py

🔗 Links

Feedback

If you have any feedback, please reach out to me at mhmdfkih21@gmail.com

About me

Name : Muhammad Faqih Hakim

Email : mhmdfkih21@gmail.com