Inspired by bumatic/colab-notebooks-as-tools.
Copy link to a notebook and open it in https://colab.research.google.com/. Then, follow instructions in the notebook.
If it's not working or you have an idea/request, then open an issue here. PRs are welcome too.
| Name & Link | Description | Open in Colab |
|---|---|---|
| Lemmatize documents | Take a column of texts in English and return cleaned and lemmatized version for further analysis. |  |
| Sentiment Analysis | Perform sentiment analysis on a CSV file containing lemmatized text using a dictionary-based approach. | |
| Athec Image Features | Extract computational aesthetic features from a zip file of images and return one CSV row per image. | |
| Athec Feature Clustering | Explore visual clusters from an Athec feature CSV using PCA, user-selected K values, interactive UMAP maps, and optional image contact sheets. | |
| Language Detection | Perform language detection on a CSV file containing text columns. | |
| Plot Collocations Pair | Plots the log ratio of frequencies of words collocated with a user-specified pair of words (e.g., 'he' vs 'she'). It helps visualize which words are more likely to appear with one word over the other in a given text corpus. | |
| Correspondence Analysis | Performs Correspondence Analysis (CA) on a text corpus to visualize relationships between documents and terms. | |
| Zeeschuimer NDJSON → CSV | Converts Zeeschuimer .ndjson exports into a slim .csv with item ID, post URL, and source platform. |
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