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Text Analysis in Python for Social Scientists: Discovery and Exploration (Elements in Quantitative and Computational Methods for the Social Sciences) - Softcover

 
9781108819824: Text Analysis in Python for Social Scientists: Discovery and Exploration (Elements in Quantitative and Computational Methods for the Social Sciences)

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A practical guide to text analysis with Python: the intuition, the math, the code.

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Published by Cambridge University Press 21 J, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
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Paperback. Condition: Very Good. Text Analysis in Python for Social Scientists: Discovery and Exploration (Elements in Quantitative and Computational Methods for the Social Sciences) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Seller Inventory # 7719-9781108819824

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Paperback. Condition: New. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it. Seller Inventory # LU-9781108819824

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Paperback. Condition: new. Paperback. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it. Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781108819824

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