AI Expert for Question Analysis Patterns
Budget: $10 – $30 USD
The project is a fixed $45 considering you are an expert and develop results in less than 2 hours.
I'm seeking the expertise of an AI specialist specifically skilled in Topic Modeling and Machine Learning. I have a database of 7500 questions stored in an Excel/CSV format. The primary aim of this project is to analyze these queries for specific trends and patterns. Your mission will be to identify the most popular topics being asked about.
Each question is labeled to a category/theme/topic. Ideal method is Word-Text-Topic Extraction approach.
A strong level of experience in interpreting complex data sets is expected for optimal identification of these key patterns. The perfect candidate will have a proven track record in similar AI analysis tasks and will be able to demonstrate their ability to uncover critical insights.
For example the questions are like:
How do entrepreneurial motives interact with institutional conditions to affect different types of innovations?
What is the relationship between various financing schemes and the economic performance of women-owned enterprises in rural Benin?
What is the process of entrepreneur identity assimilation among employees, and how does it differ between those who complete and those who do not complete this process?
How do external conditions, such as industrial structure, affect the process of opportunity identification among different typologies of high-potential startups?
How does the unique contextual dimensions in the Gulf States influence women's entrepreneurial activities, and what are the future research avenues for context-specific epistemologies?
How do founder social identity and economic prosperity influence the transition from nascent to active entrepreneurship?
What are the gender differences in micro-commerce performance in Togo and how does cultural context influence this gender gap?
How does parental emotional support, entrepreneurial self-efficacy, and affective commitment influence the succession intentions of children in family businesses?
I'm seeking the expertise of an AI specialist specifically skilled in Topic Modeling and Machine Learning. I have a database of 7500 questions stored in an Excel/CSV format. The primary aim of this project is to analyze these queries for specific trends and patterns. Your mission will be to identify the most popular topics being asked about.
Each question is labeled to a category/theme/topic. Ideal method is Word-Text-Topic Extraction approach.
A strong level of experience in interpreting complex data sets is expected for optimal identification of these key patterns. The perfect candidate will have a proven track record in similar AI analysis tasks and will be able to demonstrate their ability to uncover critical insights.
For example the questions are like:
How do entrepreneurial motives interact with institutional conditions to affect different types of innovations?
What is the relationship between various financing schemes and the economic performance of women-owned enterprises in rural Benin?
What is the process of entrepreneur identity assimilation among employees, and how does it differ between those who complete and those who do not complete this process?
How do external conditions, such as industrial structure, affect the process of opportunity identification among different typologies of high-potential startups?
How does the unique contextual dimensions in the Gulf States influence women's entrepreneurial activities, and what are the future research avenues for context-specific epistemologies?
How do founder social identity and economic prosperity influence the transition from nascent to active entrepreneurship?
What are the gender differences in micro-commerce performance in Togo and how does cultural context influence this gender gap?
How does parental emotional support, entrepreneurial self-efficacy, and affective commitment influence the succession intentions of children in family businesses?