TheDataCode/mPharmaHealth-Sentiment-Analysis

A sentiment analysis on a healthcare startup in Africa ## mPharmaHealth Twitter Sentiment Analysis ### INTRODUCTION A Twitter sentiment analysis on a healthcare startup mPharmaHealth. mPharmaHealth is a Ghanaian healthcare startup founded in 2013 to improve patients’ access to medication and medical care. They work with a network of pharmacies across Africa to reduce prices and offer a payment scheme called Mutti, which allows patients to pay in instalments using a mobile money wallet. ### OBJECTIVE - Strengthen Customer Loyalty in Core Markets Focus marketing efforts in Ghana and Nigeria to reinforce positive sentiment, deepen brand loyalty, and turn neutral customers into brand advocates. - Enhance Global Brand Presence Increase international awareness, with the aim of expanding mPharmaHealth’s reach, building credibility, and attracting global partnerships. #### Data Structure Approximately 1,300 tweets posted between 2014 and 2023 were extracted and processed for analysis. Initial columns included: 1. Date 2. Userid 3. Username 4. Content 5. Retweet count 6. Like count 7. Location #### Executive Summary This analysis measures public sentiment toward mPharmaHealth using polarity scores from tweets, rated on a scale from -1 (very negative) to 1 (very positive). Scores between -0.5 and 0.0 are classified as neutral. Most sentiment scores are centred around 0.0, showing that public opinion is largely neutral. There are more neutral and positive sentiments combined than negative ones. Tweet locations show that most users are from Ghana and Nigeria, mPharmaHealth’s key markets, while others are spread across different countries. This global spread indicates growing international visibility and interest in the brand. The word cloud reveals that many tweets are focused on topics aligned with the brand’s core initiatives. This suggests strong audience engagement with mPharmaHealth’s mission and messaging. - Go here for Python analysis - Follow this link for visualisation in Power BI ### Recommendations - Lever …