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Natural Language Processing with TensorFlow

You're reading from   Natural Language Processing with TensorFlow Teach language to machines using Python's deep learning library

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788478311
Length 472 pages
Edition 1st Edition
Languages
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Authors (2):
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Thushan Ganegedara Thushan Ganegedara
Author Profile Icon Thushan Ganegedara
Thushan Ganegedara
Motaz Saad Motaz Saad
Author Profile Icon Motaz Saad
Motaz Saad
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Natural Language Processing 2. Understanding TensorFlow FREE CHAPTER 3. Word2vec – Learning Word Embeddings 4. Advanced Word2vec 5. Sentence Classification with Convolutional Neural Networks 6. Recurrent Neural Networks 7. Long Short-Term Memory Networks 8. Applications of LSTM – Generating Text 9. Applications of LSTM – Image Caption Generation 10. Sequence-to-Sequence Learning – Neural Machine Translation 11. Current Trends and the Future of Natural Language Processing A. Mathematical Foundations and Advanced TensorFlow Index

New tasks emerging


Now we will investigate several novel areas that have emerged in the recent past. These areas include detecting sarcasm, language grounding (that is, the process of eliciting common sense from natural language), and skimming text.

Detecting sarcasm

Sarcasm is when a person utters something which actually means the opposite of the utterance (for example, I love Mondays!). Detecting sarcasm can even be difficult for humans sometimes, and detecting sarcasm through NLP is an even harder task. Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation [23], Lotem Peled and Roi Reichart, uses NLP for detecting sarcasm in Twitter posts. They first create a dataset of 3,000 tweet pairs, where one tweet is the sarcastic tweet and the other tweet is the decrypted nonsarcastic tweet. The decrypted tweets were created by five human judges who looked at the tweet and came up with the actual meaning. Then they used a monolingual machine translation mechanism...

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