Brandlytics - Know the sentiment of your Brand!

Introduction 📌

Traditionally, to know more about product and brand recognition, customer loyalty, customer satisfaction, advertising and promotion success, product acceptance, companies had to conduct surveys, experiment with different avenues. To ease these process, an application needs to be developed which analyses the sentiment by giving the individual tweets as input.

Architecture & process flow 💻

caching

implemented in memory caching to twitter api responses and sentiment analysis server responses to reduce latency. Latency reduced from 10,000ms to 35ms for repeated search term.

Tech Stack

• React.js
• Node.js
• Express.js
• SQLite
• React-Query
• NLTK
• Scikit-Learn

Demo