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"Threadfluence Analyzer: Explore the rise of Threadfluence, an Instagram-backed app, through sentiment analysis of user reviews. Utilizing Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and NLTK, uncover insights into user sentiments and factors driving ratings."

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Threadfluence: Unraveling the Meteoric Ascent of the Instagram-backed Social Phenomenon

Overview

Dive deep into the remarkable journey of Threadfluence, an Instagram-backed app challenging giants like X (formerly known as Twitter). This project investigates the intricate factors shaping user ratings and conducts sentiment analysis on reviews from app stores and Google Play.

Description

Threadfluence stormed onto the scene, garnering millions of downloads in mere hours. Our analysis aims to decode the intricate elements driving user ratings (ranging from 1-star to 5-star) and unravel the sentiments expressed in app store and Google Play reviews. Delve into the pulse of Threadfluence's performance and reception within the ever-evolving social media ecosystem.

Key Features

  • Rapid Ascent Analysis
  • Unveiling User Rating Drivers
  • Sentiment Deciphering of App Store and Google Play Reviews

How to Engage

  1. Clone this repository to your local machine.
  2. Install the necessary dependencies for seamless operation.
  3. Execute the analysis scripts to unveil hidden insights.
  4. Embark on a journey of discovery by exploring the findings and revelations.

Technologies Utilized

  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • NLTK

About

"Threadfluence Analyzer: Explore the rise of Threadfluence, an Instagram-backed app, through sentiment analysis of user reviews. Utilizing Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and NLTK, uncover insights into user sentiments and factors driving ratings."

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