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Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics

By : Bhargav Srinivasa-Desikan
3.6 (7)
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Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics

3.6 (7)
By: Bhargav Srinivasa-Desikan

Overview of this book

Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.
Table of Contents (17 chapters)
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Text manipulation in Python

We mentioned earlier in the chapter that the way we represent text in Python is through strings. So how do we specify that an object is a string?

word = "Bonjour World!"

Now the word variable contains the text, Bonjour World!. Note how we used double quotes around the text that we intend to use - while single quotes also work; if we also wish to use a single quote in our string, we would need to use double quotes. Printing our word is straightforward, where all we need to do is use the print function. Remember to use parentheses if we are coding in Python 3!

print(word)
Bonjour World!

We don't have to use variables to be able to print string though - we can also just do:

print("Bonjour World!")
Bonjour World!

Be careful not to enclose your variable in quotations though! Consider this example:

print("word")
word

This...

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