Brand Sentiment Analysis Tool

Developed a sentiment analysis tool for brands to monitor and evaluate public perception across social media platforms

Data Collection: Gathered data from social media platforms, review sites, and forums using web scraping and API integrations.
Sentiment Classification: Utilized natural language processing (NLP) algorithms to classify sentiment as positive, negative, or neutral based on user-generated content.
Trend Analysis: Analyzed sentiment trends over time to identify shifts in public perception related to marketing campaigns or product launches.
Reporting Dashboard: Created a user-friendly dashboard that visualizes sentiment data, helping brands make informed marketing decisions.

Power in Numbers

1000+

Social Media Post

100

Keywords Tracked

90 %

Accuracy Rate