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You're reading from Natural Language Processing and Computational Linguistics

Product typeBook

Published inJun 2018

Reading LevelBeginner

PublisherPackt

ISBN-139781788838535

Edition1st Edition

Languages

Python

Tools

Spacy

Concepts

Mobile Application Development

Author (1)

Bhargav Srinivasa-Desikan

Chapter 1. What is Text Analysis?

There is no time like now to do text analysis – we have an abundance of easily available data, powerful and free open source tools to conduct our analysis, and research on machine learning, computational linguistics and computing with text is progressing at a pace we have not seen before.

In this chapter, we will go into details about what exactly text analysis is and look at the motivations for studying and understanding text analysis. Following are the topics we will cover in this chapter:

What is text analysis?
Where's the data at?
Garbage in, garbage out
Why should YOU be interested?
References

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Natural Language Processing and Computational Linguistics

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Author (1)

Bhargav Srinivasa-Desikan

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.
Read more about Bhargav Srinivasa-Desikan

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