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Hi,
I just wondered if anyone has trained a binary classifier to reproduce the result for `SST` on page 4 of the paper?
If so is there any code for this?
Thanks a lot,
Aj
ghost updated
7 years ago
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Here is my sample code:
from encoder import Model
model=Model()
text = ['it was a nice day','it was a great day','it was a bad day','It was a wonderful day','It was an excellent day','It was a su…
mbnik updated
7 years ago
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This entails both a literature review to understand how they have been labeled and some data mining to find already labeled text basis to build sentiment index
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I'd like to use keras to build a 1D convolutional net with pooling layers on some textual input, but I can't figure out the right input format and the right number of incoming connections above the fl…
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Use this code to reproduce published results for RNNs for text classification. Put the results and references in the README.
Nothing exhaustive, just reproduce something to show that it's working.
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Hi,
I am trying to do a multi class text classification and here is an excerpt of the classifier that I was playing with where
X = pandas dataseries which has sentences
y = pandas dataseries with…
setuc updated
7 years ago
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Hallo,
are there Evidence-Files for other languages than english? I need them for the german language.
Thanks,
rmeier11
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`acc, auc, avg_prec = binary_metrics(polarities, lexicon, eval_words)`
It seems get the best result (acc, auc, avg_prec) with the help of the baseline domain-specific lexicon(lexicon).
I am confuse…
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**Članovi tima:**
Sara Perić (sw26-2014)
Grupa 2
Asistent: Ivan Perić
**Opis problema:**
Na osnovu unete poruke detektuje se sentiment i korisnik dobija odgovor (koji predstavlja neku zanimljiv…
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The `find_optimal_allocation` does not select non-overlapping phrases, nor does it select the longest one:
```
tweet = "you have a great day" # This is the most positive phrase in the lexica
lc.cal…
freva updated
7 years ago