The dutch sentiment file (see nl-sentiment.xml) has words with negative subjectivity, which does not respect the boundary values for subjectivity: [0.0, 1.0]. I did not check for how many cases, but the word "verloren" is an example.

Sentiment files for other languages may have negative subjectivity as well. Since

When trying to find the options that can be used to initialize NLP.js, I have to delve into the code and navigate through many files to find what I am looking for, if I am lucky. Also the structure of the settings are hard to figure out and require a lot of trial and error.

For example, we are using the NlpManager with these:

{
    ner: { builtins: [] },
    autoSave: false,
    langua

https://github.com/udacity/deep-learning-v2-pytorch/blob/3a95d118f9df5a86826e1791c5c100817f0fd924/cycle-gan/helpers.py#L75

Currently, this piece of code throws an exception module 'scipy.misc' has no attribute 'imsave'

Possible cause scipy.misc.imsave is deprecated.

Possible [fix](https://stackoverflo

On home page of website: https://nlp.johnsnowlabs.com/ I read "Full Python, Scala, and Java support"

Unfortunately it's 3 days now I'm trying to use Spark NLP in Java without any success.

• I cannot find Java API (JavaDoc) of the framework.
• not event a single example in Java is available
• I do not know Scala, I do not know how to convert things like:
  val testData = spark.createDataFrame(

This is also on page 356.

from nltk.corpus import sentiwordnet as swn

good = swn.senti_synsets('good', 'n')[0]
Traceback (most recent call last):
File "", line 1, in
TypeError: 'filter' object is not subscriptable

If I want to use both of them, how to modify code in aen.py? Thanks a lot.

In preprocess_csv function in preprocess.py (link), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project did not have pandas installed.