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```
Stanford CoreNLP 3.3.1 and above provides a module for sentiment analysis of
sentences. It gives five scores for very negative, negative, neutral, positive,
and very positive (a distribution).
…
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Traceback (most recent call last):
File "/Users/tungdinh/.pyenv/versions/3.6.8/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/tungdinh/.pyenv/v…
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I was running an nlp server for most ssplit and some time sentiment analyze service in CentOS7, 64G with xmx&xms 60g
as I need to afford both Chinese end English analysis at the same time, the conf…
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This should be done after https://github.com/0xdevalias/devalias.net/pull/86 is merged.
> Even when we removed Jekyll's `--lsi` option, [the site build](https://github.com/0xdevalias/devalias.net/r…
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Hi, do you have plans to add support for Bayesian filters to spam-detector? The structure of the library and usage looks great, but it'd be far more powerful with more supported spam detectors.
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开源先点个赞
但是例子中的aspect_sentiment是不是有误
```
In [8]: my_senta.init_model(model_class="ernie_1.0_skep_large_ch", task="aspect_
...: sentiment_classify", use_cuda=use_cuda)
...: texts = ["百度是一家高科技公…
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I am running the Readme file example.
```
from transformers import BertTokenizer`
name = 'absa/classifier-lapt-0.2'`
model = absa.BertABSClassifier.from_pretrained(name)
tokenizer = BertTokenizer…
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- An attacker should take the pre-trained model, original dataset, adversarial dataset (made with transforms), and a list of criteria to monitor (like accuracy, loss, etc) [All the entities in PyTorch…