Chapter 5
Considering Other Task Types
IN THIS CHAPTER
Moving forward with text processing
Performing sentiment analysis
Working through a time series
Book 4, Chapter 4 introduces you to the topic of Natural Language Processing (NLP), where you consider how a computer can process text despite not understanding it. The chapter points out that programming a computer to process human language is a daunting task, which is only recently possible using Natural Language Processing (NLP), deep learning Recurrent Neural Networks (RNNs), and word embeddings. This chapter takes you further by looking more closely at tokenization, the bag-of-words approach to analysis, and sentiment analysis. These approaches rely on building a model using Keras and employing deep learning techniques.
You don’t have to type the source code for this chapter manually. In fact, using the downloadable source is a lot easier. The source code for this chapter appears in the DSPD_0505_Other_Tasks.ipynb source code file for Python and the DSPD_R_0505_Other_Tasks.ipynb source code file for R. See the Introduction for ...
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