Aditya Chhabra
@AdityaKChhabra
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Excited to share our paper and Python package on scaling up interpretative qualitative analysis with natural language processing. @bijurao, @JulianAshwin, @Qual_Analytics, @NandiniPothos, Arshia Haque and Afsana Khan
We apply the method to analyze 2,200 open-ended interviews on parent’s aspirations for children from Rohingya refugees and their Bangladeshi hosts in Cox’s Bazaar, Bangladesh.
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An interesting paper, but neglects a crucial point – for more complex/nuanced annotation tasks, particularly in non-Western contexts, LLMs can display a substantial bias leading to misleading results (see our paper with @JulianAshwin and @AdityaKChhabra
https://t.co/6gTe1xpeJw.🧵
Many fields—including psychology, sociology, communications, political science, and computer science— use computational methods to analyze text data. We find that the all versions of #GPT are capable of accurately detecting various psychological constructs in text across 12
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"Using Large Language Models (LLMs) for Qualitative Analysis Can Introduce Serious Bias," a new World Bank working paper with @JulianAshwin & @AdityaKChhabra
https://t.co/uQAkeaPnag Extends our work on Large-N Qual Analysis https://t.co/x7jYfXcurK A thread on the *new* paper👇
blogs.worldbank.org
We develop a “supervised” NLP method that allows open-ended interviews, and other forms of text, to be analyzed using interpretative human coding
New paper with @bijurao and @AdityaKChhabra in which we find that using Large Language Models (LLMs) such as ChatGPT and Llama in social science research might lead to serious biases! https://t.co/h9IbQjk4pG (1/6)
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New paper with @bijurao and @AdityaKChhabra in which we find that using Large Language Models (LLMs) such as ChatGPT and Llama in social science research might lead to serious biases! https://t.co/h9IbQjk4pG (1/6)
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Got together with Jagadish and chatted about bot-building. We recently built Tara at Kenpath - she knows all about India's National Education Policy. Check her out at Ask Tara - https://t.co/gypI2DOMgw Missed our meet-up? Replay at @PeoplePlusAI
https://t.co/sme8j3dFwQ
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.@JulianAshwin and I blog for Development Impact on a method to do "interpretative" qualitative analysis with large-N samples (using supervised NLP) based on our joint paper with @Qual_Analytics @AdityaKChhabra @NandiniPothos Arshia Haque and Afsana Khan.
blogs.worldbank.org
We develop a “supervised” NLP method that allows open-ended interviews, and other forms of text, to be analyzed using interpretative human coding
Qualitative Analysis with Representative Samples: @bijurao & Julian Ashwin on how supervised natural language processing can be used to do large sample qualitative analysis
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iQual has the potential to extend the use of qualitative analysis in economics. You can find it at https://t.co/KwZpA737yQ and install it via *pip install iqual*
github.com
iQual is a package that leverages natural language processing to scale up interpretative qualitative analysis. It also provides methods to assess the bias, interpretability and efficiency of the ma...
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iQual is a powerful package designed for open-ended interviews. iQual is highly customizable with scikit-learn pipelines, and supports text-vectorization using scikit-learn, spaCy, or sentence-transformers.
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The video of the seminar that @JulianAshwin & I gave at @LSEInequalities on conducting iterative qualitative analysis at scale is now online. Paper and package will follow with a thread in 3-4 days.
Missing our recent Inequalities Seminar 'Qualitative Analysis at Scale: An application to aspirations in Cox's Bazar, Bangladesh'? 🔴With @bijurao and @JulianAshwin 🔴Chaired by @paolebru Watch it now ⬇️ https://t.co/gqZapHBTg8
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Missing our recent Inequalities Seminar 'Qualitative Analysis at Scale: An application to aspirations in Cox's Bazar, Bangladesh'? 🔴With @bijurao and @JulianAshwin 🔴Chaired by @paolebru Watch it now ⬇️ https://t.co/gqZapHBTg8
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For R users, a quick-start on the package by @96abhishekarora
https://t.co/WOWQXaQMbE
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Briefly, it helps you search, discover, filter, and download #data conveniently using @DataPortalIndia ( https://t.co/NhzW1XfPUZ)
#API
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