June 2018
Beginner to intermediate
330 pages
9h 3m
English
Content preview from Applied Text Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
- accumulators, From Scikit-Learn to MLLib, Local fit, global evaluation
- acyclic data flows, Distributing the Corpus
- agglomerative clustering, Agglomerative clustering-Agglomerative clustering, Glossary
- application programming interface (API), defined, Glossary
B
- backoff, Unknown Words: Back-off and Smoothing-Unknown Words: Back-off and Smoothing
- backpropagation, Artificial Neural Networks
- bag-of-keyphrases, Predicting sentiment with a bag-of-keyphrases-Predicting sentiment with a bag-of-keyphrases
- bag-of-words (BOW), Contextual Features
- defined, Text Vectorization and Transformation Pipelines, Glossary
- text vectorization with, Words in Space
- Baleen ingestion engine, The Baleen Ingestion Engine
- defined, Glossary
- disk structure, The Baleen disk structure-The Baleen disk structure
- ball tree algorithm, Being Neighborly
- BaseEstimator interface (Scikit-Learn API), The BaseEstimator Interface
- betweenness centrality, Centrality-Centrality, Centrality, Glossary
- bias, defined, Glossary
- bias–variance trade-off, Cross-Validation
- bisecting k-means clustering, Text clustering with MLLib
- blocking
- defined, Blocking with Structure
- fuzzy, Fuzzy Blocking-Fuzzy Blocking
- with structure, Blocking with Structure
C
- canonicalization, Entity Resolution, Glossary
- centrality, Centrality-Centrality, Glossary
- chatbots, Language-Aware Data Products, Chatbots-Conclusion
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.