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.
À propos de ce cours
Compétences que vous acquerrez
- 5 stars65,76 %
- 4 stars23,83 %
- 3 stars6,71 %
- 2 stars1,62 %
- 1 star2,05 %
Meilleurs avis pour RÉCUPÉRATION DE TEXTE ET MOTEURS DE RECHERCHE
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
I will keep the last star for not using a more cutting edge programming language, e.g. python. MeTa is not really helpful in the business world and that discounts the value of this course.
This advance course just perfect for me who know little bit about advance statistic and linear algebra.
I have learned a lot of concepts through this course, but at a shallow level. It is a great introduction course to IR. It can be improved by adding more programming tasks for hands-on exercise
À propos du Spécialisation Exploration de données
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