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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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After @jyegerlehner 's implement of global condition #168 , I would like to ask which features of the model we should focus for now, and which approach we should do for each. Here there are some optio…
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Blei, David. 2012. [“Probabilistic Topic Models"](https://m-cacm.acm.org/magazines/2012/4/147361-probabilistic-topic-models/fulltext?mobile=true)”. _Communications of the ACM_ **55**(4):77-84.
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I imagine that there would be some application of deriving synonyms of words to assist in parts of text analysis, but I do not work in this area. Perhaps @juliasilge @dgrtwo or @kbenoit might have an …
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OpenAI. 2019. [“Better Language Models and Their Implications”](https://openai.com/blog/better-language-models/). Blogpost.
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If you want to become a reviewer for ReScience, please post your information here. The format is:
```
[name](github account link)
Scientific expertise - Language expertise
ORCID: [xxxx](http…
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I recently figured out how to use kuromoji, and theoretically speaking, I could see what happens if I force the segmenter to only create a segmentation if it's in a place where kuromoji put one. This …
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Post questions here for:
Manning and Schütze. 1999. Foundations of Statistical Natural Language Processing. MIT Press: selections from Chapter 5 (“Collocations”): 151-163, 172-176, 183-186.
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Post questions here for this week's fundamental readings: Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 5,7,9,11,16 —“Bag of Words”, “The Ve…