I am very new to sentiment analysis. Trying to use Stanford Sentiment Treebank(sst) and ran into an error.
from nltk.tree import Tree
import os
import sst
trees = "C:\\Users\m\data\trees"
tree, score = next(sst.train_reader(trees))
[Output]:
AttributeError Traceback (most recent call last)
<ipython-input-19-4101f90b0b16> in <module>()
----> 1 tree, score = next(sst.train_reader(trees))
AttributeError: module 'sst' has no attribute 'train_reader'
I think you're looking for https://github.com/JonathanRaiman/pytreebank, not https://pypi.org/project/sst/.
On the python side, that error is pretty clear. Once you import the right package, though, I'm not sure I saw train_reader
but I could be wrong.
UPDATE: I'm not entirely sure why you're running into the 'sst' not having the attribute train_reader. Make sure you didn't accidentally install the 'sst' package if you're using conda. It looks like the 'sst' is referring to a privately created module and that one should work.
I got your import working but what I did was I:
requirements.txt
file.import sst
was still giving me an error so I installed nltk and sklearn to resolve that issue. (fyi, im not using conda. im just using pip and virtualenv for my own private package settings. i ran pip install nltk
and pip install sklearn
)import sst
worked for me.