Introduction to Information Retrieval
This is the companion website for the following book. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. You can order this book at CUP, at your local bookstore or on the internet. The best search term to use is the ISBN: 0521865719. The book aims to provide a modern approach to information retrieval from a compu
GloVe: Global Vectors for Word Representation
GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. Down
The Stanford Natural Language Processing Group
Overview Arabic is the largest member of the Semitic language family and is spoken by nearly 500 million people worldwide. It is one of the six official UN languages. Despite its cultural, religious, and political significance, Arabic has received comparatively little attention in modern computational linguistics. We are remedying this oversight by developing tools and techniques that deliver stat
Deeply Moving: Deep Learning for Sentiment Analysis
Deeply Moving: Deep Learning for Sentiment Analysis This website provides a live demo for predicting the sentiment of movie reviews. Most sentiment prediction systems work just by looking at words in isolation, giving positive points for positive words and negative points for negative words and then summing up these points. That way, the order of words is ignored and important information is lost.
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