Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.
Acerca de este Curso
Habilidades que obtendrás
- 5 stars65,69 %
- 4 stars23,94 %
- 3 stars6,68 %
- 2 stars1,61 %
- 1 star2,04 %
Principales reseñas sobre TEXT RETRIEVAL AND SEARCH ENGINES
A great overview of text retrieval methods. Good coverage of search engines. A longer course will cover search engine better (remember this is a 6 weeker)
A bit difficult to complete as the Quiz questions were tougher. But when you go through all, you might feel good.
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
This course is complemented with a software and text (not mandatory) and good explanation with diagrams...
Acerca de Programa especializado: minería de datos
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.