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Brandlytics - Know the sentiment of your Brand!

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Introduction ๐Ÿ“Œ

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.

Logo

Architecture & process flow ๐Ÿ’ป

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

Demo

Languages

JavaScript51.9%TypeScript45.3%HTML1.4%Python0.9%Shell0.4%

Contributors

Created September 4, 2021
Updated December 28, 2024
DevelopersLeague/Brandlytics | GitHunt