Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/statute8234/redditsuggestor

Rating: (6/10) The project uses Python libraries and APIs to analyze Reddit data, predict user input, suggest new titles based on cosine similarity, calculate combined scores, and output the best suggestion.
https://github.com/statute8234/redditsuggestor

countvectorizer difflib filedialog multinomialnb openpyxl pandas praw random scikit threading tkinter ttk

Last synced: about 1 month ago
JSON representation

Host: GitHub
URL: https://github.com/statute8234/redditsuggestor
Owner: Statute8234
Created: 2023-09-22T02:21:48.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2024-06-13T06:07:25.000Z (6 months ago)
Last Synced: 2024-06-13T09:22:26.559Z (6 months ago)
Topics: countvectorizer, difflib, filedialog, multinomialnb, openpyxl, pandas, praw, random, scikit, threading, tkinter, ttk
Language: Python
Homepage:
Size: 38.1 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # RedditSuggestor

[![Static Badge](https://img.shields.io/badge/tkinter-purple)](https://pypi.org/project/tkinter/)

[![Static Badge](https://img.shields.io/badge/threading-gray)](https://pypi.org/project/threading/)

[![Static Badge](https://img.shields.io/badge/pandas-blue)](https://pypi.org/project/pandas/)

[![Static Badge](https://img.shields.io/badge/random-pink)](https://pypi.org/project/random/)

[![Static Badge](https://img.shields.io/badge/difflib-purple)](https://pypi.org/project/difflib/)

[![Static Badge](https://img.shields.io/badge/praw-black)](https://pypi.org/project/praw/)

[![Static Badge](https://img.shields.io/badge/openpyxl-pink)](https://pypi.org/project/openpyxl/)

[![Static Badge](https://img.shields.io/badge/sklearn-yellow)](https://pypi.org/project/sklearn/)

[![Static Badge](https://img.shields.io/badge/openpyxl-yellow)](https://pypi.org/project/openpyxl/)

[![Static Badge](https://img.shields.io/badge/pandas-pink)](https://pypi.org/project/pandas/)

[![Static Badge](https://img.shields.io/badge/praw-purple)](https://pypi.org/project/praw/)

[![Static Badge](https://img.shields.io/badge/nltk-blue)](https://pypi.org/project/nltk/)

The project utilizes machine learning techniques and the Reddit API to predict post title success and suggest improvements through Reddit Title Wizard and Title Genius.

## Table of Contents

- [About](#about)

- [Features](#features)

- [Installation](#installation)

- [Usage](#usage)

- [Contributing](#contributing)

- [License](#license)

## About

The project consists of two main components: Reddit Title Wizard and Title Genius, which use machine learning techniques to predict post title success and suggest improvements, integrating with the Reddit API.

## Features

- Reddit Title Wizard: A GUI-based application that allows users to input Reddit post titles, predict their potential performance, and receive suggestions for improvement.

- Title Genius: A command-line tool that collects Reddit post data, predicts the success of titles, and suggests improved titles based on similarity and other factors.

Prerequisites

- Python 3.x

- Required Python libraries:

- openpyxl

- pandas

- praw

- scikit-learn

- nltk

- tkinter

- threading

## Installation

Clone the repository:

- git clone [](https://github.com/Statute8234/RedditSuggestor.git)

Install dependencies:

- pip install openpyxl pandas praw scikit-learn nltk tkinter

Set up NLTK:

- python -m nltk.downloader stopwords punkt

Set up Reddit API credentials:

- Create a Reddit app to get client_id, client_secret, and user_agent.

- Replace the placeholders in the code with your credentials.

## Usage

# Reddit Title Wizard

- Run the application:

  - python RedditTitleWizard.py

  - Using the application:

    - Enter a post title in the "Enter post title" field.

    - Click the "Submit" button to get predictions for points, comments, and awards.

    - View the suggested title in the "would you like to try:" field.

    - Optionally, upload a photo using the "Upload Photo" button.

# Title Genius

- Run the script:

  - python TitleGenius.py

  - Follow the prompts:

    - The script will prompt you to enter a title for prediction.

    - It will fetch the latest data from the specified subreddit and update the Excel file.

    - The script will then predict and display the potential success of the input title and suggest an improved title.

## Contributing

Contributions are welcome! To contribute to Monster Maze, follow these steps:

1. Fork the repository.

2. Create a new branch:

   ```bash

   git checkout -b feature/YourFeature

   ```

3. Make your changes and commit them:

   ```bash

   git commit -m "Add new feature"

   ```

4. Push to the branch:

   ```bash

   git push origin feature/YourFeature

   ```

5. Create a new Pull Request.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.