awesome-sentiment-analysis
Sentiment
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| awesome-sentiment-analysis | Sentiment | |
|---|---|---|
| 1 | - | |
| 526 | 100 | |
| - | 0.0% | |
| 1.9 | 1.7 | |
| 6 months ago | about 1 year ago | |
| PHP | ||
| - | MIT License |
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awesome-sentiment-analysis
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What are the ways to handle out of domain inputs for text classification?
Get or generate negative class data. There are adversarial approaches that can improve domain generalization, but it's best to acquire more data from diverse sources. You mentioned you're working on sentiment in one of your comments- there are a ton of open-source sentiment datasets, at least for English, comprising millions of rows of data. Randomly sample from a wide variety of them to hit as many domains as possible. It's also worth including a neutral class.
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What are some alternatives?
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