Data collection and analysis service for quantitative research using Python or R.
We can collect data from various sources, such as YouTube, Instagram, Facebook, X/Twitter, and other platforms, using advanced web scraping and APIs. Additionally, we can help organize this data into structured databases to facilitate further analysis, all with the methodological rigor required for cutting-edge research.
- Multivariate analysis of textual and quantitative data.
- Data visualization for clear and impactful insights.
- Sentiment analysis and trends on social media.
- Statistical modeling and machine learning to predict behaviors and patterns.
- Clustering and data segmentation to identify groups and emerging trends.
- Support in interpreting results and writing scientific articles.
- Database structuring to facilitate data management and analysis.
- Descriptive and inferential statistics to support your conclusions.
Contact us to discuss your specific needs and how we can help collect and analyze data from social media, websites, text files, or other relevant sources for your research.
We issue invoices for both individuals and companies. The service cost may vary depending on the project’s complexity and the volume of data to be collected. Contact us for a personalized quote.
We collect data ethically and in compliance with platform policies, ensuring data privacy and security. We prepare reports of compliance with research and ethical standards, ensuring your research aligns with academic and legal standards.
Project Examples
YouTube Data Collection and Analysis: We collect data from videos, comments, transcripts, and channels to analyze trends, engagement, and behavior patterns using topic modeling with BERTopic.
Database with over 100,000 videos, 50 million comments from 49 YouTube channels, including transcripts and metadata, for quantitative and qualitative analysis of trends, engagement, and behavior patterns.