We will use OpenNLP, Stanford API, and LingPipe to demonstrate the various classification approaches. We will spend more time with LingPipe as it offers several different classification approaches.
Using APIs to classify text
by AshishSingh Bhatia, Richard M. Reese
Natural Language Processing with Java - Second Edition
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to NLP
- Finding Parts of Text
- Finding Sentences
- Finding People and Things
- Detecting Part of Speech
- Representing Text with Features
- Information Retrieval
- Classifying Texts and Documents
- Topic Modeling
- Using Parsers to Extract Relationships
- Combined Pipeline
- Preparing data
- Using boilerpipe to extract text from HTML
- Using POI to extract text from Word documents
- Using PDFBox to extract text from PDF documents
- Using Apache Tika for content analysis and extraction
- Pipelines
- Using the Stanford pipeline
- Using multiple cores with the Stanford pipeline
- Creating a pipeline to search text
- Summary
- Creating a Chatbot
- Other Books You May Enjoy
Using APIs to classify text
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