Trial on Wanye Text Analysis System

Release time:2024-03-1410

The Library has activated the trial on Wanye Text Analysis System. We welcome all teachers and students to actively use it and provide valuable feedback and suggestions during the trial period.

Access URL:

Period of Validity: March 8th, 2024 - September 7th, 2024

Access methods:

Step 1: Copy, paste (import) the text to be analyzed into the system text box according to the system prompts;

Step 2: Click on the relevant function buttons to obtain the desired analysis data.

Database Introduction:

The Wanye Text Analysis System is a big data text analysis system developed based on the concept of digital humanities, utilizing AI technologies such as NLP natural language processing, syntactic analysis, semantic dependency analysis, and unsupervised learning algorithms. This system includes text analysis and processing tools such as feature analysis, comparative research, and abstract extraction. Designed to enhance the quality and efficiency of reading and research for liberal arts faculty and students, the system shifts from traditional close reading to 'long-distance visual reading', seamlessly blending qualitative and quantitative research to boost learning efficiency, by offering more convenient research tools and diverse perspectives.

1. Feature Analysis

Using AI technology to digitize and visualize text, high-frequency words, characters, locations, etc. in literary works are presented in more intuitive forms such as numerical values, charts, and word clouds, and their relationships are analyzed to achieve a perfect combination of qualitative and quantitative research, improve learning efficiency, and provide a new perspective for scientific research and paper writing.

2. Comparative research

The version is quite time-consuming and laborious, requiring word for word comparison and recording. In view of this, this system has launched a version comparison function based on the needs of version comparison researchers, greatly improving the efficiency and accuracy of version comparison.

3. Abstract extraction

The abstract extraction tool quickly and impartially summarizes the main plots in seconds. Using AI, it captures the essence of books without altering the original text, ensuring an unbiased and concise summary; Preserve the knowledge structure framework of the entire book, avoid taking out of context, and form a clear and coherent knowledge guide; Make it possible for you to read 1800 books in one year!