Chapter 7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis
"Data is the new oil." | ||
| --Unknown | ||
In this chapter we are going to look at two important fields of AI and data science: natural language processing (NLP) and big data analysis. For the supporting sample application, we re-implement the Sentiment analysis of Twitter hashtags project described in Chapter 1, Programming and Data Science – A New Toolset, but this time we leverage Jupyter Notebooks and PixieDust to build live dashboards that analyze data from a stream of tweets related to a particular entity, such as a product offered by a company, for example, to provide sentiment information as well as information about other trending entities extracted from the same tweets. At the end of this chapter, the reader will learn how to integrate cloud-based NLP services such as IBM Watson Natural Language Understanding into their application as well as perform data...
