Skip to main content

No project description provided

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

competex-1.0.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

competex-1.0-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file competex-1.0.tar.gz.

File metadata

  • Download URL: competex-1.0.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for competex-1.0.tar.gz
Algorithm Hash digest
SHA256 a7b945a982f9a61f109fb8b7f98e19cc24068aadbe89964d88936ea91cf0ad0e
MD5 bc27948bfcc0dc793dda65e4199e8676
BLAKE2b-256 961722c59cb1139eba2006a19e305c05b0efaebf908c789b8fd8273fcb9ddd70

See more details on using hashes here.

File details

Details for the file competex-1.0-py3-none-any.whl.

File metadata

  • Download URL: competex-1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for competex-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c818cda56f549559882fa2547e6b1775b8455cfa6970472c2bb6907ad44f14ed
MD5 c35ca9b2ec7bf723926f44e4f0938517
BLAKE2b-256 bc9931535d43d8989c95d71a109ad8f16ba78570faf1c3abd992e340e2af7474

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page