competex 1.4

A Python library for analyzing competitors using data from social media platforms

CompeteX Library

CompeteX is a Python library designed for analyzing competitors using data from social media platforms. It provides a set of tools and functionalities to gather, process, and analyze social media data to gain insights into competitors' activities, audience engagement, content performance, and more.

Installation

You can install CompeteX using pip:

pip install competex

Getting Started

To start using CompeteX, import it into your Python environment:

import competeX as cx

Features

• Data Gathering: CompeteX facilitates the collection of social media data from platforms such as Twitter, Facebook, Instagram, and LinkedIn.
• Data Processing: CompeteX offers tools for processing and cleaning social media data to prepare it for analysis.
• Competitor Analysis: CompeteX provides algorithms and metrics for analyzing competitors' social media performance, audience demographics, sentiment analysis, and more.
• Visualization: CompeteX includes functions for visualizing social media data and analysis results.

Examples

Here's a simple example of using CompeteX to gather Twitter data and perform sentiment analysis:

import competeX as cx

#Gather Twitter Data
twitter_data = cx.gather_twitter_data(username='competitor_handle', since='2024-01-01', until='2024-03-01')

#Gather Threads Data
threads_data = cx.gather_threads_data(username='competitor_handle', since='2024-01-01', until='2024-03-01')

#Perform sentiment analysis
sentiment_analysis = cx.sentiment_analysis(twitter_data, threads_data)

print(sentiment_analysis)

Contributing

If you'd like to contribute to CompeteX, please refer to the contributing guidelines.

License

CompeteX is distributed under the MIT License. See the license file for more information.