What do Greeks say about banks, energy providers, and mobile companies on social media? And how can a company automatically "read" thousands of comments every day, understand what frustrates its customers, and fix it before it’s too late?

This is exactly what a team of three students from Big Blue Data Academy was called upon to answer, in collaboration with Mentionlytics, one of the leading social media monitoring platforms in Greece and abroad.

34,000 comments, three sectors, one solution

Using real data from the Mentionlytics platform, consisting of over 34,000 social media posts from January 2025 to April 2026, the team developed an automated system that "reads" and understands texts in Greek and English, including slang, emojis, and sarcasm.

The system didn't just stop at counting negative comments. It categorized complaints into sectors such as fees, technical issues, customer service, and contracts. It then calculated which of these most heavily impact each company's reputation by combining the frequency of references with the intensity of negative sentiment.

The results were eye-opening: in the banking sector, the "Fees & Charges" category emerged as the most critical source of dissatisfaction, showing an upward trend. In telecommunications, network problems and individual technical faults steadily accumulate high levels of negativity. In the energy sector, billing and charges remain consumers' number one complaint.

Dimitris Mousadakos, CEO of Big Blue Data Academy, characteristically notes: "This is exactly the type of work companies hire for, and our students did it before they even graduated."

When education meets the market

Connecting students with the job market is a fundamental principle and primary goal of Big Blue Data Academy, with strategic partnerships being the rule rather than the exception in its educational process. Every student team in the Data Science bootcamp undertakes a real project for a real company, using real data and realistic deadlines. The results are presented at an online event, in the presence of potential employers.

Applications for the next cohort (starting October 5, 2026) are open until September 14, 2026.