{"product_id":"text-analysis-in-python-for-social-scientists-prediction-and-classification-paperback-9781108958509","title":"Text Analysis in Python for Social Scientists; Prediction and Classification (Paperback \/ softback) 9781108958509","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eText Analysis in Python for Social Scientists\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePrediction and Classification\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA practical guide to text classification and neural networks in Python for social scientists.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eDirk Hovy (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108958509, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 17 March 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e75 pages\u003cbr\u003e22.8 x 15.1 x 0.7 cm, 0.157 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eText contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e 2. Ethics, Fairness, and Bias\u003cbr\u003e 3. Classification\u003cbr\u003e 4. Text as Input\u003cbr\u003e 5. Labels\u003cbr\u003e 6. Train-Dev-Test\u003cbr\u003e 7. Performance Metrics\u003cbr\u003e 8. Comparison and Significance Testing\u003cbr\u003e 9. Overfitting and Regularization\u003cbr\u003e 10. Model Selection and Other Classifiers\u003cbr\u003e 11. Model Bias\u003cbr\u003e 12. Feature Selection\u003cbr\u003e 13. Structured Prediction\u003cbr\u003e 14. Neural Networks Background\u003cbr\u003e 15. Neural Architectures and Models.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Political science \u0026amp; theory [\u003ca title=\"See our other books on Political science \u0026amp; theory\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Political%20science%20\u0026amp;%20theory%20%5BJPA%5D%22\"\u003eJPA\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46004105871640,"sku":"9781108958509","price":16.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781108958509i.jpg?v=1696728085","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/text-analysis-in-python-for-social-scientists-prediction-and-classification-paperback-9781108958509","provider":"Freshly Printed Books","version":"1.0","type":"link"}