Identifying Popular Bangla News and Explaining Popularity

Project Overview

This project aims to identify the most popular Bangla news articles and explain the factors contributing to their popularity. The analysis focuses on data from a leading Bangla news website, Prothom Alo, and involves various data science techniques to uncover patterns and insights.

Files in This Repository

1. For Prothom Alo.ipynb: This Jupyter notebook contains the data collection and analysis process. It includes:

   • Data scraping from Prothom Alo
   • Data cleaning and preprocessing
   • Exploratory Data Analysis (EDA)
   • Popularity metrics calculation
   • Visualization of findings

2. thesis.ipynb: This Jupyter notebook contains the detailed thesis write-up, including:

   • Introduction to the problem
   • Literature review
   • Methodology
   • Results and discussion
   • Conclusion and future work

Installation and Setup

To run the notebooks, you need to have Python and Jupyter Notebook installed on your system. Follow these steps to set up the environment:

1. Clone the repository:

   git clone https://github.com/adeeb0005/identifying-popular-bangla-news.git
   cd identifying-popular-bangla-news

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Start Jupyter Notebook:

   jupyter notebook

Usage

1. Running the Analysis:

   • Open For Prothom Alo.ipynb in Jupyter Notebook.
   • Execute the cells sequentially to perform data scraping, cleaning, and analysis.

2. Reading the Thesis:

   • Open thesis.ipynb in Jupyter Notebook.
   • Follow the structured content to understand the project in detail.

Results

The analysis reveals several key insights into the popularity of Bangla news articles, including:

• The types of news that attract the most readers.
• The influence of different factors (e.g., headline, publication time, category) on the popularity.
• Visualization of trends and patterns in the data.

Conclusion

This project provides a comprehensive understanding of what makes Bangla news popular. It leverages data science techniques to offer actionable insights that can help news organizations optimize their content strategy.

Future Work

Future work could include:

• Extending the analysis to other Bangla news websites.
• Incorporating social media data to understand the broader impact.
• Using advanced machine learning models to predict article popularity.

Contact

For any queries or suggestions, please contact:

• Abdul Muhaimin Adeeb: [[email protected]]
• Affiliation: Session 2018-19, Dept. Of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj.