The main contents of the project include vertical search engine and theme crawler,
automatic generation of emotion analysis and Research Report, and mining of network
hot spots and interpersonal relationships. Based on natural language processing and
clustering algorithm, emotion analysis, automatic report generation and network
hotspot and interpersonal relationship mining are realized respectively, and
research results such as public opinion analysis, hotspot event mining and special
group discovery for social hotspot events are obtained.
The main contents of the project include the research on the construction of
technology entity portrait model and label system, the research on global technology
information fusion technology, the construction of technology entity big data
warehouse and the construction of real-time dynamic technology knowledge map. The
key technologies such as technology entity disambiguation, multi-dimensional label
reorganization, knowledge reasoning and global technology information are adopted.
The main contents of the project include the construction of user portrait model,
advertising classification and scene modeling, and personalized advertising
recommendation algorithm based on machine learning. The analysis of advertising and
user information is realized by text analysis and keyword extraction, and
personalized recommendation is realized by machine learning and collaborative
filtering technology.
