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https://twitter.com/jdwlbr/status/1622707312862568448
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high priority, required for ML models
- [x] implementation ```src/utils.py (34, 3)```
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Create a bag of words model for processing text data into a sentiment score.
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## 📚 Documentation
I'm not sure this is the right tag but I would like ask if the bag-of-words mappings and more information on the semantic meaning of features could be provided for embedded dataset…
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I use LDA transformation from example
```
var pipeline =
ml.Transforms.Text.ProduceWordBags(review).
Append(ml.Transforms.Text.LatentDirichletAllocation(review, ldaFeatures, numberOfTopi…
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Consider a table:
| target | words |
| --- | --- |
| 1 | This, That, And The Other
| 0 | This
| 1 | And The Other, That
Am I using the commas to infer the bag of words correctly?
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Hi,I'm now working on locating on a specific scene. And I think training a offline BoW for this scene can improve accuracy. How did you generate the dictionary brief_k10L6.bin? it uses DBOW2? Can you…
JMZZZ updated
6 years ago
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Hello, I find that some words are cased while some are uncased.
They have different word ids in the vocab of tokenizer of GPT.
What is the appropriate way to process the words ?
Thanks.
![imag…