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bag-of-words

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rakshit-kumar
rakshit-kumar commented Dec 24, 2019

The library is generating lot of warnings (text below).

sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.svm.classes module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.svm. Anything that cannot be imported from sklearn.svm is now part of the private API.

warnings.warn(message, Fut

davidignacioam
davidignacioam commented Jun 21, 2019

I searched in web and I found the solution. I want to share it. Instead of just put “nltk.download()”, try:

import nltk
import ssl

try:
_create_unverified_https_context = ssl._create_unverified_context
except AttributeError:
pass
else:
ssl._create_default_https_context = _create_unverified_https_context

nltk.download()

Hence, will open a windows to choose the specific tool.

S

robertcv
robertcv commented Mar 26, 2020
Text version

master

Orange version

master

Expected behavior

I search for a word in Corpus Viewer and get some documents. I would then expect the output to be those documents that I also select in the documents list. It would behave more like Data Table.

Actual behavior

The output is always documents that match search regardless of what is selected in the documents li

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

  • Updated May 14, 2019
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