MufadiRaidi - Tweet Data Analysis

Summarization

The tweets discuss equal and fair decisions, like providing opportunities for newly graduated pharmacists, in addition to allocating a 100 million m2 area to Riyadh city and establishing a global map to lengthen life expectancy. A range of loans have also been allocated, including those for employment, family, divorcee/widows and other services. Finally, the lack of cars available through dealerships versus agencies is criticized.

Topic Modeling

1. Health service improvement
2. Cybersecurity awareness
3. Land allocation for development
4. Lifespan lengthening
5. Loan and financial assistance for various demographics

Emotional Analysis

The emotions expressed in these tweets range from frustration and disappointment to optimism and appreciation. Frustration is expressed in the tweet about the lack of employment opportunities for recent graduates and the lack of availability of cars in the market. Disappointment is evident in the tweet about the lack of security awareness in the judiciary. On the other hand, optimism is seen in the tweets about the allocation of land for Riyadh and the world map for healthy aging. Finally, appreciation is expressed for the strong trade minister and the financial loans available for families, widows, and divorced women.

Trend Analysis

1. Equitable and Just Decisions
2. Employment of Recent Graduates in the Healthcare Sector
3. Cybersecurity Awareness
4. Adequate Supply of Land for Riyadh
5. Favourable Proposals for Loans and Borrowers