Provided by:
UNIPI, CNR
From:
Master II Livello Big Data Analytics
Sede:
Computer Science Department, Unversity of Pisa
Lecturers:
Paolo FERRAGINA
Semester:
2
Hours:
42
Educational Goals:
The module provides the description of a search engine structure and of Text Mining tools, by analyzing their characteristics and limits with respect to the computational cost, the precision/recall/F1 parameters, and the expressivity of the supported queries. The module is also based on hands-on activities that will present well-known open-source Python tools for the crawling and analysis of web pages, the semantic annotation of texts (TagMe), and the indexing of text data collections (ElasticSearch).
