cssmodels / howtousellms
This offers a Jupyter Notebook introduction on how to use Large Language Models for text analysis within the social sciences.
☆60Updated 9 months ago
Alternatives and similar repositories for howtousellms:
Users that are interested in howtousellms are comparing it to the libraries listed below
- code base for constructing narrative statements from text☆100Updated last year
- Github site with code and data associated with the ASR paper on the Geometry of Culture☆48Updated 4 years ago
- A full course of self-explanatory and freely available materials on CSS methods☆62Updated 4 months ago
- Summer/ winter schools, workshops and conferences in computational social science 🫂☆37Updated 2 months ago
- Course repository for the session "Hands-on Transformers: Fine-Tune your own BERT and GPT" of the Data Science Summer School 2023☆83Updated last year
- An R package for Keyword Assisted Topic Models☆105Updated 4 months ago
- Perspectives on Computational Analysis (MACS 30000), Autumn 2018☆31Updated 6 years ago
- Repository for paper "Embedding Regression: Models for Context-Specific Description and Inference"☆90Updated last year
- A package to easily train Bert-like models for text classification☆15Updated last year
- ☆18Updated 2 years ago
- Guide on how to use LLMs for computational social science research☆28Updated 5 months ago
- Simple Python wrapper for querying data with TikTok's research API☆13Updated last year
- This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collabora…☆226Updated this week
- Learning structural topic modeling using the stm R package.☆125Updated 7 years ago
- Tutorial on Transformers 🤖, HuggingFace 🤗 and Social Science Applications 👥 @ IC2S2☆15Updated 3 years ago
- Innovation across ages☆67Updated last year
- A review of APIs.☆66Updated 4 months ago
- A Shiny Application for Inspecting Structural Topic Models☆115Updated 6 months ago
- Github Repository for PLSC 30600 - Causal Inference☆31Updated this week
- ☆23Updated 6 months ago
- Materials associated with the Coding Demonstrations training series☆38Updated last year
- Notebooks and other course materials for Emory QTM 340 (Fall 2024 - Klein)☆20Updated 2 months ago
- Online materials for Social Data Science☆44Updated 11 months ago
- Code for publication Törnberg, P. 2022. "How digital media drive affective polarization through partisan sorting". PNAS.☆15Updated 2 years ago
- Webpage materials for AAPA network workshop☆82Updated 4 years ago
- ☆20Updated last year
- Sentiment Analysis for Text, Image and Video Using Transformer Models☆24Updated last week
- Workshop "Analyzing Social Media Data" at the Big Data and Development Conference☆12Updated last year
- R package: Design-based Supervised Learning☆10Updated last month
- An R package for estimating and doing statistical inference on context-specific word embeddings.☆104Updated 5 months ago