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Main approaches in NLP

Course video 3 of 43

In this module we will have two parts: first, a broad overview of NLP area and our course goals, and second, a text classification task. It is probably the most popular task that you would deal with in real life. It could be news flows classification, sentiment analysis, spam filtering, etc. You will learn how to go from raw texts to predicted classes both with traditional methods (e.g. linear classifiers) and deep learning techniques (e.g. Convolutional Neural Nets).

Courseraについて

コース、専門分野と世界最高の大学や教育機関からのトップ講師が教えるオンライン学位。

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