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Machine Learning for Text

Overview of attention for book
Cover of 'Machine Learning for Text'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning for Text: An Introduction
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    Chapter 2 Text Preparation and Similarity Computation
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    Chapter 3 Matrix Factorization and Topic Modeling
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    Chapter 4 Text Clustering
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    Chapter 5 Text Classification: Basic Models
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    Chapter 6 Linear Classification and Regression for Text
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    Chapter 7 Classifier Performance and Evaluation
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    Chapter 8 Joint Text Mining with Heterogeneous Data
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    Chapter 9 Information Retrieval and Search Engines
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    Chapter 10 Text Sequence Modeling and Deep Learning
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    Chapter 11 Text Summarization
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    Chapter 12 Information Extraction
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    Chapter 13 Opinion Mining and Sentiment Analysis
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    Chapter 14 Text Segmentation and Event Detection
Attention for Chapter 13: Opinion Mining and Sentiment Analysis
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Citations

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