November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Finding Meaning
So far, we mostly used TensorFlow for image processing, and to a lesser extent, for text-sequence processing. In this chapter, we will revisit the written word to find meaning in text. This is part of an area that is commonly termed Natural Language Processing (NLP). Some of the activities in this area include the following:
- Sentiment analysis—This extracts a general sentiment category from text without extracting the subject or action of the sentence
- Entity extraction—This extracts the subject, for example, person, place, and event, from a piece of text
- Keyword extraction—This extracts key terms from a piece of text
- Word-relation extraction—This extracts not only entities but also the associated action and parts of speech ...
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