Social Media Analytics | Business Intelligence
Tech Brand Sentiment Analysis — Twitter Insights for Global Tech Brands
A Power BI dashboard built to visualize brand sentiment across global technology companies using real-time Twitter data. It decodes how audiences perceive brands like Apple, Google, Samsung, and Android by analyzing tweet sentiment, engagement, and keyword patterns — transforming unstructured text into actionable marketing intelligence. Note: You can watch the walkthrough of my work down in view project and to use my work more in depth please go to my github.
My Role
Appiled Research Work
Duration
1 Month
Tools
Power BI | DAX | Power Query | Excel | Text Mining (preprocessed sentiment data)
Link
Overview
How can real-time Twitter sentiment data be leveraged to uncover public perception, engagement trends, and competitive positioning among leading tech brands?
Developed an interactive Power BI dashboard with three key modules:
1️⃣ Sentiment Overview:
Displays overall tweet distribution — Positive, Neutral, and Negative — with brand filters and sentiment scores.
2️⃣ Brand Comparison:
Allows side-by-side comparison of major brands, showing engagement patterns, sentiment by brand, and tweet complexity vs sentiment correlation.
3️⃣ Keyword Insights:
Reveals trending hashtags and frequent words linked to each sentiment polarity, helping marketers track campaign performance.
Research
The research centered on understanding how social media sentiment reflects brand trust and engagement in the technology market.
Tweets mentioning top brands (Apple, Google, Android, iPad, etc.) were collected, cleaned, and pre-labeled with sentiment (Positive, Neutral, Negative).
The focus was to:
Measure volume and polarity of brand mentions
Compare sentiment distribution across brands
Identify most-used keywords and hashtags
Reveal engagement behavior (word count vs. sentiment, hashtag frequency)
This study highlights the potential of social listening analytics for business intelligence — showing how consumer voice can guide brand strategy and marketing focus.
Design
Adopted a clean blue–white color theme for professionalism and data clarity.
Used card visuals for KPIs (tweet counts, sentiment scores) and bar/pie charts for visual simplicity.
A dynamic structure with filters and cross-brand comparisons enhances interactivity and storytelling.
Results
Delivered a real-time social sentiment dashboard that helps marketing teams monitor brand perception.
Enabled competitive benchmarking between Apple, Google, and Android brands.
Identified engagement patterns tied to product launches and user conversations.
Supported data-driven brand strategy and PR decisions using sentiment insights.
Takeaway:
“Where data meets digital conversation — uncovering tech brand stories hidden in social sentiment.”
