Uncover valuable insights from food and beverage reviews using text mining. Monitor and analyze brands, gain competitor insights, manage brand reputation, and understand consumer attitudes and competitor strengths.

Leveraging information retrieval technology, businesses can efficiently compare data for relevant text, aiding the search and application of indigenous-related information.

Systematically collecting relevant comments from social media platforms commonly used by job seekers in Taiwan to establish a company-specific employer brand sentiment analysis system, enabling internal adjustments to recruitment strategies, can be divided into data sources, employer brand dimensions, and analytical methods.

Textual analysis of industry news related to the technology sector, by depicting the relationships between key words such as technology and organization, allows for the observation of the overall industry structure and exploration of important issues to provide communication and other services. The analysis results can explore more possibilities for the development of the technology industry and provide recommendations for subsequent related developments.

Integrating the RAG (Retrieval-Augmented Generation) framework, leveraging data stored in the enterprise’s knowledge management system, to establish an internal intelligent dialogue system. This system utilizes the text summarization and synthesis capabilities of Large Language Models (LLMs) to more effectively support internal enterprise needs and provide real-time assistance, thereby enhancing overall efficiency and performance.

The intelligent technology of unmanned aerial vehicles (UAVs) stands at the forefront of today’s technological advancements and plays a crucial role in economic development. This project focuses on establishing a sentiment analysis system for this technology industry and incorporates LLM (Large Language Model) technology to provide expert-like summarization and reasoning capabilities. The aim is to support and provide recommendations for the future development of intelligent technology.