SAS Visual Text Analytics Expert Needed

@WycOj

As a seasoned Biostatistician and Data Analyst with a particular emphasis on medical data and comprehensive experience in the field of sentiment analysis, I am confident in my ability to not only support your project's needs but deliver above and beyond your expectations. My over seven years in research has granted me an intimate understanding of scientific language, strong grounding in SAS Visual Text Analytics, SAS Viya. Having majored in tools you've listed like SAS Visual Text Analytics, SPSS and done extensive work with medical-related data where open-text analysis is routine, I believe I'd be the ideal candidate for your project. This also spans to my motivational drive; turning unstructured data from multiple sources such as news comments or public statements into meaningful information is what I love and do best. Moreover, I've had ample experience conducting sentiment analysis for health-related topics hence familiar with possible recurring concerns. I bring a unique balance of technical skillset coupled with deep domain knowledge thus not just throwing up formulas but carefully cleaning data using SAS Viya for improved reliability; contrasting positive vs negative sentiment; validating accuracy of classifications to name but a few. With such a high stakesdeliverable,I guarantee you accuracy within our agreed timelines;

@juanpablomacf

You need someone who can step into a time‑sensitive research project and deliver a complete, defensible sentiment analysis workflow inside SAS Visual Text Analytics and SAS Viya. I’ve supported academic and policy teams on similar projects where the priority was accuracy, methodological clarity, and outputs that non technical audiences can trust. My approach is to review your research question, assess the available text sources, and design a VTA pipeline that handles cleaning, parsing, concept extraction, sentiment scoring, and topic modelling. I’ll configure custom rules where needed to capture Alberta specific themes, health policy language, and nuanced sentiment around nurse practitioner led primary care. I also validate classifications manually and statistically to ensure credibility. Deliverables include cleaned datasets, sentiment outputs, topic summaries, tables and charts, a short methods note, and a concise findings brief suitable for internal reporting. I can also walk your team through the workflow so you can reuse it. If you need someone who can begin immediately and deliver a rigorous SAS based analysis under tight timelines, I can take this project from setup to final summary smoothly.

@Aaleen110

I understand you need a Canadian SAS Viya / SAS Visual Text Analytics expert for a time-sensitive project analyzing public sentiment on the Government of Alberta's nurse practitioner clinic funding. I have successfully deployed SAS Visual Text Analytics for similar large-scale public opinion projects, achieving a 90% accuracy in sentiment classification. My approach will involve building a SAS Viya project configured for text analytics. This includes data ingestion from your provided sources, text parsing and cleaning using SAS Text Miner concepts within Viya, and developing custom sentiment models trained on Alberta-specific language. The output will be a detailed sentiment dashboard within SAS Viya, clearly visualizing positive, negative, and neutral sentiment trends, along with key drivers. What is the expected volume and format of the text data you will be providing for analysis? Ready to start as soon as you confirm scope.

@Specgi

I am an experienced data analyst specializing in SAS platforms, with strong expertise in SAS Visual Text Analytics. I help organizations extract meaningful insights from unstructured text data such as customer feedback, surveys, emails, and social media content. My focus is on turning raw text into actionable intelligence that supports better business decisions and strategic planning. For your project, I will use SAS Visual Text Analytics to process, clean, and analyze your text datasets. This includes building text parsing models, identifying key themes, sentiment analysis, and creating custom concepts and categories tailored to your business needs. I will also develop clear visualizations and reports that make the insights easy to understand and apply for stakeholders at all levels. My goal is to deliver accurate, scalable, and insightful text analytics solutions that enhance your understanding of customer behavior and trends. I am committed to high-quality work, attention to detail, and timely delivery. I would be glad to collaborate with you and help you unlock the full value of your unstructured data using SAS Visual Text Analytics.