Honors College Theses
Publication Date
5-9-2024
Major
Computer Science (B.S.)
Document Type and Release Option
Thesis (open access)
Faculty Mentor
Dr. Andrew Allen
Abstract
Market Research is vital but includes activities that are often laborious and time consuming. Survey questionnaires are one possible output of the process and market researchers spend a lot of time manually developing questions for focus groups. The proposed research aims to develop a software prototype that utilizes Natural Language Processing (NLP) to automate the process of generating survey questions for market research. The software uses a pre-trained Open AI language model to generate multiple choice survey questions based on a given product prompt, send it to a targeted email list, and also provides a real-time analysis of the responses stored in a SQL database. The idea is for market researchers to provide minimal information and have the system propose to them options for potential questions for the focus group. The project involves creating a web-based software prototype that features user-friendly interfaces for seamless interaction between companies and users. The expected outcome of the project is to provide a more efficient and effective method for companies to generate meaningful survey questions for market research.
Thesis Summary
Market Research is vital but includes activities that are often laborious and time consuming. Survey questionnaires are one possible output of the process and market researchers spend a lot of time manually developing questions for focus groups. The proposed research aims to develop a software prototype that utilizes Natural Language Processing (NLP) to automate the process of generating survey questions for market research. The software uses a pre-trained Open AI language model to generate multiple choice survey questions based on a given product prompt, send it to a targeted email list, and also provides a real-time analysis of the responses stored in a SQL database. The idea is for market researchers to provide minimal information and have the system propose to them options for potential questions for the focus group. The project involves creating a web-based software prototype that features user-friendly interfaces for seamless interaction between companies and users. The expected outcome of the project is to provide a more efficient and effective method for companies to generate meaningful survey questions for market research.
Recommended Citation
Chug, Anav, "A NLP Approach to Automating the Generation of Surveys for Market Research" (2024). Honors College Theses. 968.
https://digitalcommons.georgiasouthern.edu/honors-theses/968