OpenAI's ChatGPT, an advanced AI-driven language model, is experiencing rapid adoption, with 100 million users in just three months. This study, involving 288 university students, aims to identify factors determining students' intentions to use ChatGPT in higher education, using Rogers' perceived theory of attributes as a framework. The study examines five factors influencing ChatGPT adoption: Relative Advantage, Compatibility, Ease of Use, Observability, and Trialability. Results indicate that five factors significantly influenced ChatGPT adoption. Students view it as innovative, compatible, and user-friendly. Students view ChatGPT as an innovative resource, enabling the independent pursuit of educational goals. Consequently, the benefits provided by ChatGPT in education motivate students to utilize the tool. The study's gender-based analysis reveals that male students prioritize compatibility, ease of use, and observability, while female students prefer the ease of use, compatibility, relative advantage, and trialability in ChatGPT adoption. Our study presents a sentiment analysis approach utilizing transfer learning and K-means, considering the impact of personal bias on expressed opinions. While the K-means algorithm can create distinct clusters (Neutral, Negative, and Positive), the accuracy demonstrates a bias towards the male gender. Understanding adopter categories, such as innovators and early adopters, can help strategize the successful diffusion of innovations like ChatGPT to different segments of society. However, its use in academia raises ethical concerns, such as diminished creativity and academic integrity violations. Similar to social media platforms' rapid diffusion, ChatGPT has the potential to transform communication and information-sharing. Factors like ease of use, accessibility, and connection capabilities contribute to both innovations' appeal. Analyzing social media platforms' diffusion can offer insights into ChatGPT's potential adoption trajectory.