hlbao/classification_in_CSS
The tutorial on scraping, processing, and classification of text-based digital trace data in Natural Language Processing and Computational Social Science.
This project helps social scientists and communication researchers analyze large volumes of text from social media and websites. It guides you through collecting digital text traces, cleaning them, and then automatically categorizing them, such as identifying political ideology from tweets or sentiments from comments. The end result is classified textual data, which can reveal patterns and insights relevant to social science research.
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Use this if you need to systematically collect and automatically classify large amounts of text from online sources for social science research.
Not ideal if your primary goal is to build deep learning models from scratch or if you are not working with text-based social science data.
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8
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4
Language
Python
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Category
Last pushed
Nov 23, 2023
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